Hamid Krim
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Works (119)
Updated: April 3rd, 2024 22:12
2023 article
FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION
2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 1810–1814.
author keywords: Optimal Transport; Domain Adaptation
TL;DR:
An algorithm is proposed that uses optimal transport theory with a verifiably efficient and implementable solution to learn the best latent feature representation for unsupervised Domain Adaptation.
(via Semantic Scholar)
Source: Web Of Science
Added: March 11, 2024
2022 journal article
Deep transform and metric learning network: Wedding deep dictionary learning and neural network
NEUROCOMPUTING, 509, 244–256.
author keywords: Deep dictionary learning; Deep neural network; Metric learning; Transform learning; Proximal operator; Differentiable programming
TL;DR:
A novel DDL approach where each DL layer can be formulated as a combination of one linear layer and a Recurrent Neural Network (RNN) is proposed, shown to flexibly account for the layer-associated and learned metric.
(via Semantic Scholar)
open access via hal.archives-ouvertes.fr (repository)
Source: Web Of Science
Added: October 11, 2022
2022 journal article
Discovering urban functional zones from biased and sparse points of interests and sparse human activities
EXPERT SYSTEMS WITH APPLICATIONS, 207.
author keywords: Functional zones discovering; Latent region representation learning; Sparse and bias POIs; GPS data; Conditional random field clustering; Function annotation
TL;DR:
The proposed framework to discover the real functional zones from the biased and extremely sparse Point of Interests (POIs) can better identify functional zones than the benchmarks, and enhance understanding of urban structures with a finer granularity under practical conditions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 8, 2022
2022 article
Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles
2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 380–386.
author keywords: Adaptive filtering; change point detection; maneuvering target tracking; neural network; nonlinear data-driven motion model
TL;DR:
This work builds a data driven adaptive filtering algorithm that improves the tracking accuracy by using a recurrent neural network (RNN)-based motion model that is trained on realistic simulated data generated from a medium fidelity simulink model of a fixed-wing UAV.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023
2022 article
REFINING SELF-SUPERVISED LEARNING IN IMAGING: BEYOND LINEAR METRIC
2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 76–80.
author keywords: Self-Supervised learning; Contrastive Learning; Jaccard Index; Non-linearity
TL;DR:
A new statistical perspective is introduced, exploiting the Jaccard similarity metric, as a measure-based metric to effectively invoke non-linear features in the loss of self-supervised contrastive learning.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 23, 2023
2022 article
SAR Self-Enhanced by Electro-optical Network (SARSEEN)
SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXI, Vol. 12122.
author keywords: S AR; multimodal fusion; remote sensing
TL;DR:
A framework is developed that inputs a SAR image and predicts a Canny edge map of the optical image, which retains structural information, while removing superfluous details, and can outperform the same model that only uses the SAR image.
(via Semantic Scholar)
Source: Web Of Science
Added: September 6, 2022
2021 journal article
Atlantic Hurricane Activity Prediction: A Machine Learning Approach
ATMOSPHERE, 12(4).
author keywords: hurricanes; tropical cyclones; fusion networks; weather forecast
TL;DR:
A machine learning model capable of making good preseason-prediction of Atlantic hurricane activity is presented, which has the potential to make skillful predictions up to 18 months in advance.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
14. Life Below Water
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 4, 2021
2021 article
DEEP TRANSFORM AND METRIC LEARNING NETWORKS
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 2735–2739.
author keywords: Deep Dictionary Learning; Deep Neural Network; Metric Learning; Transform Learning; Proximal Operator; Differentiable Programming
TL;DR:
This work proposes a novel Deep DL approach where each DL layer can be formulated and solved as a combination of one linear layer and a Recurrent Neural Network, where the RNN is flexibly regraded as a layer-associated learned metric.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: November 29, 2021
2021 article
DYNAMIC GRAPH LEARNING BASED ON GRAPH LAPLACIAN
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 1090–1094.
author keywords: Dynamic Graph Learning; Graph Signal Processing; Sparse Signal; Convex Optimization
TL;DR:
This work forms a quadratic objective functional of observed node signals over short time intervals, subjected to the proper regularization reflecting the graph smoothness and other dynamics involving the underlying graph’s Laplacian, as well as the time evolution smoothness of the underlyinggraph.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
Source: Web Of Science
Added: November 29, 2021
2021 journal article
Dynamic Graph Learning: A Structure-Driven Approach
MATHEMATICS, 9(2).
author keywords: dynamic graph learning; graph signal processing; sparse signal; convex optimization
TL;DR:
The purpose of this paper is to infer a dynamic graph as a global model of time-varying measurements at a set of network nodes, which captures both pairwise as well as higher order interactions among the nodes.
(via Semantic Scholar)
Source: Web Of Science
Added: March 15, 2021
2021 journal article
Event driven sensor fusion
SIGNAL PROCESSING, 188.
author keywords: Sensor fusion; Multi-modal fusion; Event driven classification
TL;DR:
This paper addresses the issue of coping with damaged sensors when using the model, by learning a hidden space between sensor modalities which can be exploited to safeguard detection performance.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 23, 2021
2021 article
GENERATIVE INFORMATION FUSION
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 3990–3994.
author keywords: multimodal fusion; remote sensing; gans
TL;DR:
The ability to exploit sensing modalities for mitigating an unrepresented modality or for potentially re-targeting resources is demonstrated, and experiments show that emulating a multi-modal system by perturbing a single modality with noise can help us achieve competitive results compared to using multiple modalities.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
Added: November 29, 2021
2021 journal article
Regularity properties of Haar Frames
COMPTES RENDUS MATHEMATIQUE, 359(9), 1107–1117.
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: December 20, 2021
2021 journal article
Reuse-centric k-means configuration
INFORMATION SYSTEMS, 100.
author keywords: K-means; Algorithm configuration; Computation reuse
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 10, 2021
2021 journal article
Robust Multi-Modal Sensor Fusion: An Adversarial Approach
IEEE SENSORS JOURNAL, 21(2), 1885–1896.
author keywords: Sensor fusion; Sensor phenomena and characterization; Generators; Sensor systems; Generative adversarial networks; Feature extraction; Multi-modal sensors; target detection; Generative Adversarial Networks (GAN); Event Driven Fusion
TL;DR:
This work exploits selected optimal features from an estimated latent space of data across all modalities, learned via a generative network conditioned on individual sensor modalities and shows that such an approach can achieve automatic system robustness against noisy/damaged sensors.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: January 19, 2021
2020 journal article
An Automatic Synthesizer of Advising Tools for High Performance Computing
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 32(2), 330–341.
author keywords: Tools; Optimization; Programming; Syntactics; Semantics; Guidelines; Natural language processing; Performance tools; natural language processing; code optimization
TL;DR:
Egeria is built based on a distinctive multi-layered design that leverages natural language processing (NLP) techniques and extends them with HPC-specific knowledge and considerations and can retrieve relevant optimization knowledge for optimization questions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 28, 2020
2020 journal article
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
IEEE SENSORS JOURNAL, 20(20), 12307–12316.
author keywords: Sensor fusion; Data integration; Data models; Sparse matrices; Magnetic sensors; Sensor phenomena and characterization; Sparse learning; unsupervised classification; data fusion; multimodal data
TL;DR:
The resulting fusion of the unlabeled sensors’ data from experiments on audio and magnetic data has shown that the method is competitive with other state of the art subspace clustering methods.
(via Semantic Scholar)
Source: Web Of Science
Added: October 12, 2020
2019 journal article
Community Detection and Improved Detectability in Multiplex Networks
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1697–1709.
author keywords: Multiplexing; Stochastic processes; Belief propagation; Correlation; Periodic structures; Computational modeling; Bayes methods; Network theory (graphs); graphical models; belief propagation
TL;DR:
A generative model that leverages the multiplicity of a single community in multiple layers, with no prior assumption on the relation of communities among different layers is proposed, which shows a better detection performance over a certain correlation and signal to noise ratio (SNR) range.
(via Semantic Scholar)
Source: Web Of Science
Added: September 21, 2020
2019 journal article
Deep Dictionary Learning: A PARametric NETwork Approach
IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(10), 4790–4802.
author keywords: Image classification; deep learning; sparse representation
TL;DR:
The performance of the proposed hierarchical method increases by adding more layers, which consequently makes this model easier to tune and adapt and shows a remarkably lower fooling rate in the presence of adversarial perturbation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: August 26, 2019
2019 article
Sparse Generative Adversarial Network
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 3063–3071.
TL;DR:
A new approach to Generative Adversarial Networks (GANs) to achieve an improved performance with additional robustness to its so-called and well-recognized mode collapse, by mapping the desired data onto a frame-based space for a sparse representation to lift any limitation of small support features prior to learning the structure.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: September 7, 2020
2018 journal article
Bi-sparsity pursuit: A paradigm for robust subspace recovery
Signal Processing, 152, 148–159.
author keywords: Signal recovery; Sparse learning; Subspace modeling
TL;DR:
A bi-sparse model is proposed as a framework to analyze this problem, and a novel algorithm to recover the union of subspaces in the presence of sparse corruptions is provided.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Crossref
Added: February 24, 2020
2018 journal article
Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 56(12), 6956–6968.
author keywords: Least effort principle; maximum entropy models; optimal transport; remote sensing; social media; volunteering labels
TL;DR:
A new methodology is introduced for the fusion of measured data for detecting and predicting weather-driven natural hazards, and it is shown that by fusing remote sensing and social media data, it can develop well founded and actionable flood maps.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: December 17, 2018
2018 journal article
Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic
IEEE TRANSACTIONS ON IMAGE PROCESSING, 27(12), 5947–5956.
author keywords: Dimensionality reduction; classification; divergence measures; nearest neighbor graph; pattern recognition
TL;DR:
The usage of a non-parametric distribution-free metric, known as the Henze–Penrose test statistic is investigated to obtain bounds for the bounds on the <inline-formula> <tex-math notation="LaTeX">$k$ </tex- math></inline- formula>-NN classification accuracy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: October 16, 2018
2018 article
Reuse-Centric K-Means Configuration
2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), pp. 1224–1227.
TL;DR:
A set of novel techniques are presented, including reuse-based filtering, center reuse, and a two-phase design to capitalize on the reuse opportunities on three levels: validation, k, and feature sets, to accelerate k-means configuration.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 11, 2019
2018 article
Robust Subspace Clustering by Bi-sparsity Pursuit: Guarantees and Sequential Algorithm
2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), pp. 1302–1311.
TL;DR:
This work considers subspace clustering under sparse noise, and provides an analysis of this optimization problem demonstrating that this approach is capable of recovering linear subspaces as a local optimal solution for sufficiently large data sets and sparse noise vectors.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2017 article
Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis
Thomaz, L. A., Jardim, E., Silva, A. F., Silva, E. A. B., Netto, S. L., & Krim, H. (2018, March). IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, Vol. 65, pp. 1003–1015.
author keywords: Video anomaly detection; sparse representation; object detection; moving camera; subspace recovery
TL;DR:
A family of algorithms based on sparse decompositions that detect anomalies in video sequences obtained from slow moving cameras by computing the union of subspaces that best represents all the frames from a reference video as a low-rank projection plus a sparse residue.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2017 conference paper
Detection of abandoned objects using robust subspace recovery with intrinsic video alignment
2017 ieee international symposium on circuits and systems (iscas), 599–602.
TL;DR:
Results indicate that the proposed video-processing scheme can lead to 95% complexity reduction while maintaining excellent detection capability of foreground objects.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2017 journal article
Determination of a Sampling Criterion for 3D Reconstruction
JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 61(4).
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2017 article
Sampling Density Criterion for Circular Structured Light 3D Imaging
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 6, pp. 478–483.
author keywords: 3D Reconstruction; Structured Light Pattern; Sampling Theorem; Geometry
TL;DR:
An approach to sampling rate (lower / upper b ound) determination to recover 3D objects represented by a set of circular light patterns, where the criterion for a sampling rate is formulated using geometric characteristics of the light patterns over laid on the surface.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: October 16, 2018
2017 journal article
System input-output theoretic three-dimensional measurement based on circular-shaped structured light patterns
OPTICAL ENGINEERING, 56(7).
author keywords: reconstruction; system identification; structured light system; modulation-demodulation; multiple viewpoints; multiple projectors
TL;DR:
This contribution chiefly deals with approximate reconstruction results that are sufficient for practical applications, such as 3-D object detection, clarification, recognition, and classification, rather than a perfect3-D reconstruction itself.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2016 conference paper
A behavior-based evaluation of product quality
International conference on acoustics speech and signal processing, 1916–1920.
TL;DR:
A general framework for the swarm motion analysis of multiple mosquitos based on 2D videos is proposed and the effectiveness and robustness of the algorithm are verified by multiple2D videos capturing mosquitos behavior in different experimental conditions.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2016 conference paper
A topological collapse for document summarization
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016-August.
Contributors: H. Guan*, W. Tang*, *, J. Keiser, A. Rindos* & R. Sazdanovic n
TL;DR:
DoCollapse is proposed, a topological collapse-based unsupervised keyphrase extraction method that relies on networking document by semantic relatedness of candidate keyphrases to facilitate final keyphrase selection.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2016 conference paper
Analysis dictionary learning for scene classification
2016 IEEE Statistical Signal Processing Workshop (SSP).
TL;DR:
A supervised way to train the baseline representation for each class-specific dictionary, and achieve multiple classification by finding the minimum distance between the learned baseline representation and the data's sub-dictionary representation.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2016 conference paper
Beyond union of subspaces: Subspace pursuit on grassmann manifold for data representation
International conference on acoustics speech and signal processing, 4079–4083.
TL;DR:
This paper exploits the fundamental structure of a Grassmann manifold, and proposes a new technique of pursuing the subspaces systematically by solving a non-convex optimization problem using the alternating direction method of multipliers.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
DISCOVERING THE WHOLE BY THE COARSE A topological paradigm for data analysis
IEEE SIGNAL PROCESSING MAGAZINE, 33(2), 95–104.
TL;DR:
The increasing interest in big data applications is ushering in a large effort in seeking new, efficient, and adapted data models to reduce complexity, while preserving maximal intrinsic information.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2016 journal article
Influence of Radical Bridges on Electron Spin Coupling
The Journal of Physical Chemistry A, 121(1), 216–225.
TL;DR:
Kohn-Sham density functional theory is used to study how much the ground spin state is stabilized relative to other low-lying spin states by creating an additional spin center on the bridge for a series of simple model compounds, which could provide a basis for constructing sensitive test systems for benchmarking theoretical methods for spin state energy splitting.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018
2016 journal article
Information Diffusion of Topic Propagation in Social Media
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2(4), 569–581.
author keywords: Computer networks; information diffusion; multi-layer network; topic propagation
TL;DR:
The goal in this paper is to predict the specific states of the agents, as their observed resources evolve in time and get updated, using a notion of a supra-Laplacian matrix to address such a generalized diffusion of an interconnected network starting with the classical “graph Laplacians.”
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2016 conference paper
Introduction to the special session on topological data Analysis, ICASSP 2016
International conference on acoustics speech and signal processing, 6410–6414.
TL;DR:
The standard techniques used in topological data analysis are introduced, the common theme connecting the works presented in this session is delineated, and a brief summary of each of the papers presented is concluded.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2(2), 186–199.
author keywords: Core-periphery; community detection; simplicial collapse; topological data analysis; social network
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2016 conference paper
Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric
2016 ieee international conference on image processing (icip), 1364–1368.
TL;DR:
Simulation results demonstrate the effectiveness and the reliability of the Henze-Penrose metric in estimating the inter-class separability and the proposed bounds are exploited for selecting the least number of features that would retain sufficient discriminative information.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2016 conference paper
Pansharpening via coupled triple factorization dictionary learning
International conference on acoustics speech and signal processing, 1234–1237.
TL;DR:
The results demonstrate that the data fusion model can successfully be applied to the pan-sharpening problem and is applicable to the pansharpening data fusion problem.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
Sparsity and Nullity: Paradigms for Analysis Dictionary Learning
SIAM JOURNAL ON IMAGING SCIENCES, 9(3), 1107–1126.
author keywords: dictionary learning; sparse coding; sparse null space problem; union of subspaces
TL;DR:
It is shown that the SNS problem plays a central role, and may be utilized to solve dictionary learning problems, and an efficient algorithm of sparse null space basis pursuit (SNS-BP) is proposed and extended to a solution of ADL.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
3D face recognition in the Fourier domain using deformed circular curves
Multidimensional Systems and Signal Processing, 28(1), 105–127.
author keywords: Face recognition; Classification; Deformed circular curves; Geodesic distance; Fourier Transform; Dimensionality reduction
TL;DR:
This paper proposes an approach to 3D face recognition using dimensionality reduction based on deformed circular curves, on the shortest geodesic distances, and on the properties of the Fourier Transform.
(via Semantic Scholar)
Sources: Crossref, Web Of Science, NC State University Libraries
Added: August 6, 2018
2015 journal article
A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology
IEEE SIGNAL PROCESSING LETTERS, 22(11).
author keywords: Algebraic topology algorithms; pulse pressure waves; topological signal analysis; wearable sensors
TL;DR:
Four characteristic points of pulse pressure waves-the systolic peak, the anacrotic notch, the dicrotic notch, and the diastolic foot-are used to estimate various aspects of cardiovascular function, such as heart rate and augmentation index are proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 conference paper
Bi-sparsity pursuit for robust subspace recovery
2015 ieee international conference on image processing (icip), 3535–3539.
TL;DR:
A bi-sparse model is proposed as a framework to investigate and analyze this problem, and a novel algorithm to recover the union of subspaces in presence of sparse corruptions is provided.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2015 journal article
Coordinate-free quantification of coverage in dynamic sensor networks
SIGNAL PROCESSING, 114, 1–18.
author keywords: Dynamic sensor network; Coverage problem; Homology; Coordinate-free
TL;DR:
A method from computational topology called zigzag persistent homology takes a sequence of simplicial complexes as input, and returns a 'barcode' containing the birth and death times of homological features in this sequence, and derives useful statistics from this output for analyzing time-varying coverage properties.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 conference paper
Emergence of core-periphery structure from local node dominance in social networks
2015 23rd european signal processing conference (eusipco), 1910–1914.
TL;DR:
It is shown that the resulting core describes the global structure of the network, while also preserving shortest paths, and displaying "expander-like" properties.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2015 book
Geometric methods in signal and image analysis
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation
International conference on acoustics speech and signal processing, 1295–1299.
TL;DR:
This work considers the application of sparse-representation and robust-subspace-recovery techniques to detect abandoned objects in a target video acquired with a moving camera to demonstrate the technique effectiveness even in the presence of some significant camera shake along its trajectory.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks
International conference on acoustics speech and signal processing, 2709–2713.
TL;DR:
A distributed algorithm for multiple DOA estimation of speech sources in WASNs is presented, which exploits the sparsity ofspeech sources in the time-frequency domain to obtain DOA estimations locally in each node of the network.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis
International conference on acoustics speech and signal processing, 3781–3785.
TL;DR:
It is shown that the SNS problem plays a central role, and may be utilized to solve dictionary learning problems, and an efficient algorithm of sparse null space basis pursuit is proposed, and extended to a solution of analysis dictionary learning.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
Spectral estimation in highly transient data
2015 23rd european signal processing conference (eusipco), 1721–1725.
TL;DR:
A new framework for estimating different frequencies in piece-wise periodic signals with time varying amplitude and phase is proposed through a 3-dimensional delay embedding of the introduced model, which constructs a union of intersecting planes where each plane corresponds to one frequency.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2014 journal article
An entropy-based persistence barcode
Pattern Recognition, 48(2), 391–401.
author keywords: Persistent homology; Persistence barcodes; Hasse diagram; Simplicial complexes; Entropy; Filtration; Filter
TL;DR:
The notion of "minimal" barcodes in terms of entropy is defined, by way of computation, and subsequent modification, of maximum matchings on subgraphs of the Hasse diagram associated to K.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Crossref
Added: February 24, 2020
2014 journal article
Analysis and Control of Beliefs in Social Networks
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62(21), 5552–5564.
author keywords: Complex networks; information flow; machine learning
TL;DR:
An information flow model (IFM) of belief that captures how interactions among members affect the diffusion and eventual convergence of a belief is proposed and applied to both converged belief estimation and belief control strategy optimization.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2014 conference paper
Computing persistent features in big data: A distributed dimension reduction approach
International conference on acoustics speech and signal processing.
TL;DR:
A simplicial collapse algorithm called the selective collapse is developed by representing the previously developed strong collapse as a forest and uses that forest data to improve the speed of both the strong collapse and of persistent homology.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2014 journal article
Distributed Localization of Coverage Holes Using Topological Persistence
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62(10), 2531–2541.
author keywords: Algebraic topology; distributed algorithms; graph theory; sensor networks
TL;DR:
This work uses algebraic topological methods to define a coverage hole, and develops provably correct algorithm to detect a hole, which is then partitioned into smaller subnetworks, ensuring that the holes are preserved, and checking for holes in each.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2014 journal article
Persistent Homology of Delay Embeddings and its Application to Wheeze Detection
IEEE SIGNAL PROCESSING LETTERS, 21(4), 459–463.
author keywords: Algebraic topology algorithms; audio analysis; biomedical signal processing; topological signal analysis
TL;DR:
To discover the proper delay, this work proposes an autocorrelation like (ACL) function of the signals, and applies the introduced topological approach to analyze breathing sound signals for wheeze detection.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2014 conference paper
Real time detection of harmonic structure: A case for topological signal analysis
International conference on acoustics speech and signal processing.
TL;DR:
Using delay embeddings, the timedomain signal is transformed into a point cloud, whose topology reflects the periodic behavior of the signal, and the Euler characteristic provides for a fast computation of topology of the resulting manifold.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2014 journal article
Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
IEEE TRANSACTIONS ON IMAGE PROCESSING, 23(11), 4907–4919.
author keywords: Subspace learning; dimension reduction; shape analysis; shape dynamic analysis
TL;DR:
A novel subspace learning algorithm of shape dynamics that is invertible and better characterizes the nonlinear geometry of a shape manifold while retaining a good computational efficiency is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
A Generalized Markov Graph Model: Application to Social Network Analysis
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 7(2), 318–332.
author keywords: Complex networks; pattern recognition; classification; Markov graph model
TL;DR:
A generalized Markov Graph model for social networks is proposed and it is revealed that the degree distribution, the clustering coefficient distribution as well as a newly discovered feature, a crowding coefficient distribution, are fundamental to characterizing a social network.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2013 chapter
A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
In Lecture Notes in Computer Science (pp. 84–91).
TL;DR:
A novel subspace learning algorithm of shape dynamics that is invertible and better characterizes the nonlinear geometry of a shape manifold while retaining a good computational efficiency is proposed.
(via Semantic Scholar)
Source: Crossref
Added: February 24, 2020
2013 chapter
Activity Video Analysis via Operator-Based Local Embedding
In Lecture Notes in Computer Science (pp. 845–852).
TL;DR:
This paper proposed a novel geometric framework to investigate the temporal relations as well as spatial features in a video sequence, and an algorithm for human activity video classification is implemented by employing Markov models in the low dimensional embedding space.
(via Semantic Scholar)
Source: Crossref
Added: February 24, 2020
2013 chapter
Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis
In Computer Vision – ACCV 2012 (pp. 760–769).
TL;DR:
This paper exploits a fibre bundle formalism to model various realizations of each trajectory, and characterize these high dimensional data sequences by an optimal operator subspace, and proposes a fast method with superior performance for video based human activity classification.
(via Semantic Scholar)
Source: Crossref
Added: February 24, 2020
2013 conference paper
Simplifying the homology of networks via strong collapses
International conference on acoustics speech and signal processing, 5258–5262.
TL;DR:
A novel algorithm is detailed for simplifying homology and “hole location” computations on a complex by reducing it to its core using a strong collapse, which leads to significant savings in complexity.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2013 chapter
Towards Minimal Barcodes
In Graph-Based Representations in Pattern Recognition (pp. 184–193).
TL;DR:
This paper provides an algorithm for computing a filter for k = 1 on the Hasse diagram of the poset of faces of K, which correspond to homology classes with life-times longer than a fixed number k.
(via Semantic Scholar)
Source: Crossref
Added: February 24, 2020
2013 article
Wheeze detection and location using spectro-temporal analysis of lung sounds
29TH SOUTHERN BIOMEDICAL ENGINEERING CONFERENCE (SBEC 2013), pp. 37–38.
TL;DR:
An automatic wheeze detector for a wearable health monitoring system, which is able to locate the wheezes inside the respiratory cycle with high accuracy, and low computational complexity is designed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2012 conference paper
A sampling theorem for a 2D surface
Scale space and variational methods in computer vision, 6667, 556–567.
TL;DR:
A new approach to determining an optimal sampling rate for a 2D-surface reconstruction using the so-called Two-Thirds Power Law is proposed, which is of interest in a number of applications such as 3D face recognition and development of new efficient 3D cameras.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2012 journal article
Human Activity as a Manifold-Valued Random Process
IEEE TRANSACTIONS ON IMAGE PROCESSING, 21(8), 3416–3428.
author keywords: Activity recognition; parallel transport; shape manifold; stationary incremental process; stochastic development
MeSH headings : Actigraphy / methods; Algorithms; Artificial Intelligence; Computer Simulation; Data Interpretation, Statistical; Humans; Image Interpretation, Computer-Assisted / methods; Models, Biological; Models, Statistical; Motor Activity / physiology; Reproducibility of Results; Sensitivity and Specificity; Whole Body Imaging / methods
TL;DR:
This work effectively bridges the nonlinear modeling of human activity on a nonlinear space, with the classic stochastic modeling in a Euclidean space, and thereby provides a foundation for a more effective and accurate analysis of the non linear feature space of activity models.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2012 conference paper
Human activity modeling as Brownian motion on shape manifold
Scale space and variational methods in computer vision, 6667, 628–639.
TL;DR:
The result demonstrate the high accuracy of the modeling in characterizing different activities as well as the one to one correspondence between the process in Euclidean space and the one on manifold.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2012 chapter
System Identification: 3D Measurement Using Structured Light System
In Advanced Concepts for Intelligent Vision Systems (pp. 1–11).
TL;DR:
This paper proposes the approach to identification of reconstruction system, and substantiates the algorithm by showing results using inexpensive and simple experimental setup.
(via Semantic Scholar)
Source: Crossref
Added: February 24, 2020
2011 article
A Scaled, Performance Driven Evaluation of the Layered Sensing Framework Utilizing Polarimetric Infrared Imagery
EVOLUTIONARY AND BIO-INSPIRED COMPUTATION: THEORY AND APPLICATIONS V, Vol. 8059.
author keywords: layered sensing; distributed sensing; polarimetric; infrared; tracking; feature-aided; fusion; multisensor
TL;DR:
This work presents an analysis of polarimetric infrared data, with two novel features, as one of the input modalities to such a system, and proceeds with statistical and geometric analyses of an example network, thus quantifying the advantages and drawbacks of a specific application of the layered sensing framework.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2011 conference paper
A invertible dimension reduction of curves on a manifold
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
TL;DR:
This paper proposes a novel lower dimensional representation of a shape sequence using a sequence of local flat subspaces adaptive to the geometry of both of the curve and the manifold it lies on and demonstrates the advantages of the proposed theoretical innovation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2011 conference paper
Robustness and expression independence in 3D face recognition
2011 ieee workshop on signal processing systems (sips), 289–292.
TL;DR:
A robust method for 3D face recognition under variance of facial expressions that utilizes the identical areas on two facial images as the measurement of distance is described.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2011 article
Vehicle Tracking Through the Exploitation of Remote Sensing and LWIR Polarization Science
POLARIZATION SCIENCE AND REMOTE SENSING V, Vol. 8160.
author keywords: layered sensing; distributed sensing; polarimetric; infrared; tracking; feature-aided; fusion; multisensor
TL;DR:
Several robust features are explored for vehicle tracking using data captured in a remote sensing setting using three classic features including Stokes images, DoLP, the Degree of Linear Polarization, and AoP, the Angle of Polarization and several geometry inspired features.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 article
3D FACE RECOGNITION BASED ON EVOLUTION OF ISO-GEODESIC DISTANCE CURVES
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, pp. 1134–1137.
author keywords: Face recognition; Geometric modeling; Image registration; Pattern classification
TL;DR:
This paper presents a novel 3D face recognition method by means of the evolution of iso-geodesic distance curves, and formalizes the evolution between them as a one-dimensional function, named evolution angle function, which is Euclidean invariant.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2010 conference paper
3D surface reconstruction using structured circular light patterns
Advanced concepts for intelligent vision systems, pt i, 6474, 279–289.
TL;DR:
A novel approach to reconstructing 3D coordinates of a surface from a 2D image taken by a camera using projected circular light patterns based on a geometrical relationship between a given pattern projected onto a 3D surface and a pattern captured in a2D image plane from a viewpoint is proposed.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2010 journal article
Contact degradation in hot/cold operation of direct contact micro-switches
Journal of Micromechanics and Microengineering, 20(10), 105028.
Contributors: Z. Yang n, D. Lichtenwalner n, A. Morris, J. Krim n & A. Kingon *
Sources: Web Of Science, Crossref, ORCID, NC State University Libraries
Added: August 6, 2018
2010 journal article
Global optimization by adapted diffusion
IEEE Transactions on Signal Processing, 58(12), 6119–6125.
TL;DR:
The main result is that adapting the diffusion coefficient to the Hamiltonian allows to escape local wide minima and to speed up the convergence of the dynamics to the global minima.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2010 journal article
Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images
IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(7), 1706–1719.
author keywords: Active contour; joint segmentation registration; layered sensing; multiphase active contour; optical flow; visual motion
TL;DR:
The experimental results show that the whole integrated algorithm is able to delineate the objects of interest, align them for a pair of layered frames and keep track of the objects over time.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms
IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(5), 1191–1200.
author keywords: Morse theory; Reeb graph; shape recognition; skeletal graph; 3-D shape modeling
MeSH headings : Algorithms; Computer Simulation; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Imaging, Three-Dimensional / methods; Models, Statistical; Pattern Recognition, Automated / methods; Reproducibility of Results; Sensitivity and Specificity
TL;DR:
Various cost assignments for graph edit operations for error correction that takes into account any shape variations arising from noise and measurement errors are proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2009 journal article
A Shearlet Approach to Edge Analysis and Detection
IEEE TRANSACTIONS ON IMAGE PROCESSING, 18(5), 929–941.
author keywords: Curvelets; edge detection; feature extraction; shearlets; singularities; wavelets
TL;DR:
This paper proposes a novel approach based on the shearlet transform: a multiscale directional transform with a greater ability to localize distributed discontinuities such as edges, which is useful to design simple and effective algorithms for the detection of corners and junctions.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2009 article
NOVEL SIMILARITY INVARIANT FOR SPACE CURVES USING TURNING ANGLES AND ITS APPLICATION TO OBJECT RECOGNITION
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, pp. 1277–1280.
author keywords: Space curve; similarity invariant; turning angle; curvature; torsion
TL;DR:
This paper presents a new similarity invariant signature for space curves based on the information contained in the turning angles of both the tangent and the binormal vectors at each point on the curve, and defines a Riemannian metric on the space of the invariant.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2009 journal article
Squigraphs for Fine and Compact Modeling of 3-D Shapes
IEEE TRANSACTIONS ON IMAGE PROCESSING, 19(2), 306–321.
author keywords: Iso-geodesic curves; object matching; Reeb graph; shape geometry; topo-geometric modeling; Whitney embedding
TL;DR:
The experiments show that squigraphs are more general than existing techniques and achieve similar classification rates to those achieved by classical shape descriptors, however, their performance becomes clearly superior when finer classification and identification operations are targeted.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2009 conference paper
brain MRi T-1-map and T-1-weighted image segmentation in a variational framework
International conference on acoustics speech and signal processing, 417–420.
TL;DR:
A constrained version of Mumford-Shah's segmentation with an information-theoretic point of view is proposed in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T1-Map and T2-weighted images in both 2-D and 3-D settings.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2008 article
A smart stochastic approach for manifolds smoothing
El Ouafdi, A. F., Ziou, D., & Krim, H. (2008, July). COMPUTER GRAPHICS FORUM, Vol. 27, pp. 1357–1364.
TL;DR:
The core idea behind the proposed method is to relate the problem of smoothing objects to that of tracking the transition probability density functions of an underlying random process, and it is demonstrated to improve performance over existing smoothing techniques.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2008 journal article
Classification of Curves in 2D and 3D via Affine Integral Signatures
ACTA APPLICANDAE MATHEMATICAE, 109(3), 903–937.
author keywords: Euclidean and affine transformations; Equivalence problem for curves; Integral invariants; Signatures; Image recognition
TL;DR:
New robust classification algorithms for planar and spatial curves subjected to affine transformations based on integral invariants, which are significantly less sensitive to small perturbations of curves and noise than classically known differential invariants.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018
2008 journal article
Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function
Pattern Recognition, 935–942.
TL;DR:
The experimental results show that the proposed modeling of objects to their topological graphs to ensure a full and compact description necessary for shape-based retrieval, recognition and analysis of 3D models appears to be robust to both noise and decimation.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2007 journal article
Flexible skew-symmetric shape model for shape representation, classification, and sampling
IEEE TRANSACTIONS ON IMAGE PROCESSING, 16(2), 317–328.
author keywords: flexible skew-symmetric distributions (FSSM); principal curves; sampling; shape classification; shape modeling; template learning
MeSH headings : Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Information Storage and Retrieval / methods; Models, Statistical; Pattern Recognition, Automated / methods; Reproducibility of Results; Sensitivity and Specificity
TL;DR:
A novel statistical method for shape modeling, which is sufficiently flexible to accommodate a departure from Gaussianity of the data and is fairly general to learn a "mean shape" (template), with a potential for classification and random generation of new realizations of a given shape.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
An independent component analysis approach for minimizing effects of recirculation in dynamic susceptibility contrast magnetic resonance imaging
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 27(3), 632–645.
author keywords: cerebral ischemia; dynamic susceptibility contrast; gamma-variate fitting; independent component analysis; perfusion-weighted imaging; recirculation
MeSH headings : Adult; Brain / blood supply; Brain / metabolism; Cerebrovascular Circulation / physiology; Contrast Media / metabolism; Female; Humans; Image Processing, Computer-Assisted / methods; Magnetic Resonance Imaging; Male; Stroke / metabolism
TL;DR:
Results obtained from simulation, normal healthy volunteers, and acute stroke patients show that independent component analysis can greatly minimize the effects of recirculation despite a substantial overlap between the first passage and recirculating.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Geodesic matching of triangulated surfaces
IEEE TRANSACTIONS ON IMAGE PROCESSING, 15(8), 2249–2258.
author keywords: geodesic distance; object recognition; shape signature; three-dimensional (3-D) matching
MeSH headings : Algorithms; Artificial Intelligence; Computer Graphics; Computer Simulation; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Imaging, Three-Dimensional / methods; Information Storage and Retrieval / methods; Models, Statistical; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated / methods; Signal Processing, Computer-Assisted; Subtraction Technique
TL;DR:
The key idea behind the methodology is to represent an object by a probabilistic shape descriptor that measures the global geodesic distance between two arbitrary points on the surface of an object that becomes a one-dimensional comparison problem between probability distributions which is clearly much simpler than comparing three-dimensional structures.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2006 book
Statistics and analysis of shapes
TL;DR:
This chapter discusses 2D Shape Modeling Using Skeletal Graphs in a Morse Theoretic Framework and its applications to Shape Warping, Empirical Shape Statistics, and Computing with Point Cloud Data.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2005 journal article
A multiscale approach to pixel-level image fusion
Integrated Computer-Aided Engineering, 12(2), 135–146.
TL;DR:
This work formulate the image fusion as an optimization problem and proposes an information theoretic approach in a multiscale framework to obtain its solution.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2005 journal article
Fast incorporation of optical flow into active polygons
IEEE TRANSACTIONS ON IMAGE PROCESSING, 14(6), 745–759.
author keywords: level-set methods; motion estimation; object tracking; optical flow; polygon evolution; region-based active contours
MeSH headings : Algorithms; Artificial Intelligence; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Information Storage and Retrieval / methods; Movement / physiology; Pattern Recognition, Automated / methods; Photography / methods; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; Video Recording / methods
TL;DR:
This paper reconsiders, in a different light, the addition of a prediction step to active contour-based visual tracking using an optical flow and clarifies the local computation of the latter along the boundaries of continuous active contours with appropriate regularizers, to avoid the need of adding ad hoc regularizing terms to the optical flow computations.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2005 journal article
Identification of a discrete planar symmetric shape from a single noisy view
IEEE TRANSACTIONS ON IMAGE PROCESSING, 14(12), 2051–2059.
MeSH headings : Algorithms; Artifacts; Artificial Intelligence; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Information Storage and Retrieval / methods; Pattern Recognition, Automated / methods
TL;DR:
The algorithm is based on a newly proposed notion of a view's skeleton which yields projective invariants which facilitate the identification procedure and may be extended to the case of noisy data to yield an optimal estimate of a shape in question.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2005 journal article
Intracranial vascular transfer function in acute stroke patients
Journal of Cerebral Blood Flow & Metabolism, 25(1_suppl), S394–S394.
TL;DR:
A novel tool for obtaining VTF in acute stroke patients is demonstrated and it is suggested that the DWI-defined lesions exhibit the largest bolus dispersion and smallest power when compared with that obtained in the normal subjects as well as other brain regions in stroke patients.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: Crossref
Added: February 24, 2020
2004 journal article
A nonlinear entropic variational model for image filtering
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2004(16), 2408–2422.
author keywords: MAP estimation; variational methods; robust statistics; differential entropy; gradient descent flows; image denoising
TL;DR:
The core idea behind this approach is to use geometric insight in helping to construct regularizing functionals and avoiding a subjective choice of a prior in maximum a posteriori estimation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2004 journal article
Information-theoretic active polygons for unsupervised texture segmentation
INTERNATIONAL JOURNAL OF COMPUTER VISION, 62(3), 199–220.
author keywords: region-based active contours; unsupervised segmentation; texture segmentation; polygon evolution; information theoretic measure; electrostatic regularizer
TL;DR:
A new active contour model is developed which nicely ties the desirable polygonal representation of an object directly to the image segmentation process and can robustly capture texture boundaries by way of higher-order statistics of the data and using an information-theoretic measure and with its nature of the ordinary differential equations.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2004 chapter
Scanning tunneling microscope-quartz crystal microbalance studies of "real world" and model lubricants
In Dynamics and friction of submicrometer confining systems (Vol. 882).
Source: NC State University Libraries
Added: August 6, 2018
2004 chapter
Shape representation with flexible skew-symmetric distributions
In Skew-elliptical distibutions and their applications: A journey beyond normality.
Source: NC State University Libraries
Added: August 6, 2018
2004 journal article
Smart nonlinear diffusion: A probabilistic approach
IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1), 63–72.
MeSH headings : Algorithms; Artificial Intelligence; Computer Graphics; Computer Simulation; Diffusion; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Imaging, Three-Dimensional / methods; Information Storage and Retrieval / methods; Models, Statistical; Nonlinear Dynamics; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: NC State University Libraries
Added: August 6, 2018
2003 journal article
A generalized divergence measure for robust image registration
IEEE Transactions on Signal Processing, 51(5), 1211–1220.
TL;DR:
This paper defines a new generalized divergence measure, namely, the Jensen-Renyi (1996, 1976) divergence, and proposes a new approach to the problem of image registration based on it, to measure the statistical dependence between consecutive ISAR image frames.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: NC State University Libraries
Added: August 6, 2018
2003 journal article
A nonlinear diffusion-based three-band filter bank
IEEE SIGNAL PROCESSING LETTERS, 10(12), 360–363.
author keywords: diffusion; edge preservation; filter banks; multiresolution analysis; nonlinearity; partial differential equation (PDE); Perona-Malik; scale-space; wavelets
TL;DR:
This letter addresses the problem of designing appropriate operators associated to nonlinear filter banks using multiscale analysis using scale-space theory and proposes specific structures of nonlinear three-band decompositions ensuring a perfect reconstruction.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2003 journal article
Fast minimization of structural risk by nearest neighbor rule
IEEE TRANSACTIONS ON NEURAL NETWORKS, 14(1), 127–137.
author keywords: breast cancer detection; index set thinning algorithm; multivariate order statistics; nearest neighbor rule; support vector machine (SVM)
TL;DR:
Simulation results on real data indicate that this method significantly reduces the computational cost of the conventional SVMs, and achieves a nearly comparable test error performance.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2003 chapter
Geodesic object representation and recognition
In B. Hamza & H. Krim (Eds.), Discrete geometry for computer imagery: 11th International Conference, DGCI 2003, Naples, Italy, November 19-21, 2003 (Vol. 2886, pp. 378–387).
Ed(s): . B. Hamza & n
TL;DR:
A shape signature that captures the intrinsic geometric structure of 3D objects is described, based on a global geodesic distance defined on the object surface, and takes the form of a kernel density estimate.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2003 chapter
Image registration and segmentation by maximizing the Jensen-Renyi divergence
In M. F. A. Rangarajan & J. Zerubia (Eds.), Energy minimization methods in computer vision and pattern recognition (Vol. 2683, pp. 147–163).
Ed(s): M. A. Rangarajan & J. Zerubia
TL;DR:
This paper analyzes the theoretical properties of the Jensen-Renyi divergence which is defined between any arbitrary number of probability distributions and derives its maximum value, and also some performance upper bounds in terms of the Bayes risk and the asymptotic error of the nearest neighbor classifier.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2003 article
Levy processes for image modeling
PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, pp. 233–236.
TL;DR:
A more efficient model capable of capturing textures, shapes, as well as jumps typically encountered in infra-red images is proposed, which can represent a very well adapted alternative for inference applications and the like.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2003 journal article
Object representation and recognition in shape spaces
PATTERN RECOGNITION, 36(5), 1143–1154.
author keywords: shape space; object recognition; legendre polynomials; statistical shape analysis; invariants
TL;DR:
A shape space based approach for invariant object representation and recognition that is invariant to similarity transformations and is relatively insensitive to noise and occlusion, potentially used for 3D object recognition.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2002 article
Mathematical methods in imaging
Hero, A. O., & Krim, H. (2002, September). IEEE SIGNAL PROCESSING MAGAZINE, Vol. 19, pp. 13–14.
TL;DR:
The imaging applications of some emerging mathematical approaches including fractals and self-similarity, nonlin-ear partial differential equations (PDEs), anisotropic diffusion, variational methods, pattern theory, stochastic point processes, and random graph theory are highlighted.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2002 journal article
Multiscale signal enhancement: Beyond the normality and independence assumption
IEEE TRANSACTIONS ON IMAGE PROCESSING, 11(4), 423–433.
author keywords: Holder space; multiscale analysis; nonlinear filtering; wavelet
TL;DR:
A novel nonlinear filtering technique to project a noisy signal onto a wavelet domain and to suppress wavelet coefficients by a mask derived from curvature extrema in its scale space representation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2002 journal article
Stochastic differential equations and geometric flows
IEEE TRANSACTIONS ON IMAGE PROCESSING, 11(12), 1405–1416.
author keywords: geometric image and shape flows; stochastic differential equations; nonlinear filtering; shape analysis
TL;DR:
Modifications of the geometric heat equation designed to preserve certain features in these shapes while removing noise are presented, and it is shown how these new flows may be applied to smooth noisy curves without destroying their larger scale features, in contrast to the original geometric heat flow.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2002 journal article
Unifying probabilistic and variational estimation
IEEE SIGNAL PROCESSING MAGAZINE, 19(5), 37–47.
TL;DR:
This article presents a variational approach to MAP estimation with a more qualitative and tutorial emphasis and proposes an information-theoretic gradient descent flow which is a result of minimizing a functional that is a hybrid between a negentropy variational integral and a total variation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2001 journal article
A variational approach to maximum a posteriori estimation for image denoising
Energy Minimization Methods in Computer Vision and Pattern Recognition: Third International Workshop, EMMCVPR 2001, Sophia Antipolis, France, September 3-5, 2001: Proceedings, 2134, 19–33.
Ed(s): J. M. Figueiredo & A. Jain
TL;DR:
A variational filter called Huber gradient descent flow is proposed, which yields the solution to a Huber type functional subject to some noise constraints, and the resulting filter behaves like a total variation anisotropic diffusion for large gradient magnitudes and like an isotropic diffusion for small gradient Magnitudes.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2001 journal article
Image denoising: A nonlinear robust statistical approach
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 49(12), 3045–3054.
author keywords: alpha-stable noise; asymptotic analysis; nonlinear filtering; robust estimation
TL;DR:
The proposed denoising methods are optimal over the Huber /spl epsi/-contaminated normal neighborhood and are highly resistant to outliers.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2000 journal article
Image segmentation and edge enhancement with stabilized inverse diffusion equations
IEEE TRANSACTIONS ON IMAGE PROCESSING, 9(2), 256–266.
author keywords: diffusion; enhancement; scale space; segmentation; sliding modes; synthetic aperture radar (SAR)
TL;DR:
A family of first-order multidimensional ordinary differential equations with discontinuous right-hand sides with stabilized inverse diffusion equations (SIDEs) is introduced and existence and uniqueness of solutions, as well as stability, are proven for SIDEs.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1999 journal article
Minimax description length for signal denoising and optimized representation
IEEE TRANSACTIONS ON INFORMATION THEORY, 45(3), 898–908.
author keywords: best basis; denoising; MDL; minimax; robust
TL;DR:
A robust wavelet thresholding technique based on the minimax description length (MMDL) principle is derived and a novel approach to selecting an adapted or best basis (BB) that results in optimal signal reconstruction is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1999 article
Multiscale statistical signal analysis and its applications - Introduction
Krim, H., Willinger, W., Juditski, A., & Tse, D. N. C. (1999, April). IEEE TRANSACTIONS ON INFORMATION THEORY, Vol. 45, pp. 825–827.
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1999 article
On denoising and best signal representation
Krim, H., Tucker, D., Mallat, S., & Donoho, D. (1999, November). IEEE TRANSACTIONS ON INFORMATION THEORY, Vol. 45, pp. 2225–2238.
author keywords: best basis; denoising; Stein risk; thresholding; wavelet; wavelet packet
TL;DR:
A best basis algorithm for signal enhancement in white Gaussian noise is proposed and an estimator of the mean-square error is proposed based on a heuristic argument and the reconstruction performance based upon it is compared to that based on the Stein (1981) unbiased risk estimator.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1998 review
Highlights of statistical signal and array processing
[Review of ]. IEEE SIGNAL PROCESSING MAGAZINE, 15(5), 21–64.
TL;DR:
This article represents an endeavor by the members of the SSAT-TC to review all the significant developments in the field of SSAP and introduces the recent reorganization of three technical committees of the Signal Processing Society.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1996 journal article
Two decades of array signal processing research: the parametric approach
IEEE Signal Processing Magazine, 13(4), 67–94.
TL;DR:
The article consists of background material and of the basic problem formulation, and introduces spectral-based algorithmic solutions to the signal parameter estimation problem and contrast these suboptimal solutions to parametric methods.
(via Semantic Scholar)
Source: Crossref
Added: January 12, 2020
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