Works (4)

Updated: July 5th, 2023 15:14

2019 journal article

Analysis Dictionary Learning Based Classification: Structure for Robustness

IEEE Transactions on Image Processing, 28(12), 6035–6046.

By: W. Tang n, A. Panahi n, H. Krim n & L. Dai*

author keywords: Discriminate analysis dictionary learning; distributed analysis dictionary learning; structured mapping; supervised learning
topics (OpenAlex): Remote-Sensing Image Classification; Image Processing Techniques and Applications; Sparse and Compressive Sensing Techniques; Face and Expression Recognition; Advanced Image and Video Retrieval Techniques; Domain Adaptation and Few-Shot Learning
TL;DR: A consensus structured analysis dictionary and a global classifier are jointly learned in the distributed approach to safeguard the discriminative power and the efficiency of classification. (via Semantic Scholar)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: October 19, 2020

2019 article

Community Detection and Improved Detectability in Multiplex Networks

Huang, Y., Panahi, A., Krim, H., & Dai, L. (2019, October 23). IEEE Transactions on Network Science and Engineering, Vol. 7, pp. 1697–1709.

By: Y. Huang n, A. Panahi*, H. Krim n & L. Dai*

author keywords: Multiplexing; Stochastic processes; Belief propagation; Correlation; Periodic structures; Computational modeling; Bayes methods; Network theory (graphs); graphical models; belief propagation
topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Data Visualization and Analytics; Advanced Graph Neural Networks; Bayesian Modeling and Causal Inference
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)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 21, 2020

2019 article

Deep Dictionary Learning: A PARametric NETwork Approach

Mahdizadehaghdam, S., Panahi, A., Krim, H., & Dai, L. (2019, May 8). IEEE Transactions on Image Processing, Vol. 28, pp. 4790–4802.

By: S. Mahdizadehaghdam n, A. Panahi n, H. Krim n & L. Dai*

author keywords: Image classification; deep learning; sparse representation
topics (OpenAlex): Image Processing Techniques and Applications; Image and Signal Denoising Methods; Digital Media Forensic Detection; Generative Adversarial Networks and Image Synthesis; Sparse and Compressive Sensing Techniques
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)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 26, 2019

2016 article

Pansharpening via coupled triple factorization dictionary learning

Skau, E., Wohlberg, B., Krim, H., & Dai, L. (2016, March 1). International Conference on Acoustics Speech and Signal Processing, pp. 1234–1237.

By: E. Skau n, B. Wohlberg*, H. Krim n & L. Dai n

topics (OpenAlex): Advanced Image Fusion Techniques; Photoacoustic and Ultrasonic Imaging; Image Enhancement Techniques
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)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

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