Works (7)
Updated: July 5th, 2023 15:33
2021 article
Local Clustering with Mean Teacher for Semi-supervised learning
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 6243–6250.
TL;DR:
This work proposes a simple yet effective method called Local Clustering (LC) to mitigate the effect of confirmation bias in the Mean Teacher model and demonstrates on semi-supervised benchmark datasets SVHN and CIFAR-10 that adding the LC loss to MT yields significant improvements compared to MT and performance comparable to the state of the art in semi- supervised learning.
(via Semantic Scholar)
open access via arxiv.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
4. Quality Education
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021
2021 journal article
Perceptual metric learning for video anomaly detection
MACHINE VISION AND APPLICATIONS, 32(3).
author keywords: Video anomaly detection; Metric learning; Video surveillance; Siamese neural networks
TL;DR:
This work introduces a new approach to localize anomalies in surveillance video using a Siamese convolutional neural network to learn a metric between a pair of video patches, which is used to measure the perceptual distance between each video patch in the testing video and the video patches found in normal training video.
(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: April 5, 2021
2020 journal article
A Survey of Single-Scene Video Anomaly Detection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(5), 2293–2312.
author keywords: Anomaly detection; Computational modeling; Cameras; Training; Buildings; Legged locomotion; Feeds; Video anomaly detection; abnormal event detection; surveillance
MeSH headings : Algorithms
TL;DR:
This article summarizes research trends on the topic of anomaly detection in video feeds of a single scene and categorizes and situates past research into an intuitive taxonomy, and provides a comprehensive comparison of the accuracy of many algorithms on standard test sets.
(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: May 23, 2022
2018 journal article
Anomalous cluster detection in spatiotemporal meteorological fields
STATISTICAL ANALYSIS AND DATA MINING, 12(2), 88–100.
author keywords: anomaly detection; clustering; spatiotemporal data mining
TL;DR:
This paper develops a method for extreme event detection in meteorological datasets that follows from well known distribution‐based anomaly detection approaches and generalizes the Mahalanobis distance across distributions of different dimensionalities.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019
2018 journal article
Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping
JOURNAL OF INFRASTRUCTURE SYSTEMS, 24(3).
TL;DR:
Leveraging thermography for managing built environments has become prevalent as a robust tool for detecting, analyzing, and reporting their performance in a nondestructive manner.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 19, 2018
2017 conference paper
Hierarchical change detection framework for biomass monitoring
2017 ieee international geoscience and remote sensing symposium (igarss), 620–623.
TL;DR:
A nearest neighbor based hierarchical change detection methodology for analyzing multi-temporal remote sensing imagery and shows that K-Means over-detects changes in comparison to the proposed method.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2016 conference paper
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring
2016 IEEE International Conference on Big Data (Big Data), 1309–1314.
UN Sustainable Development Goal Categories
13. Climate Action
(OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
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