A New Unsupervised Video Anomaly Detection Using Multi-Scale Feature Memorization and Multipath Temporal Information Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3237028
Abstract: Anomaly detection in video is an advanced computer vision challenge that recognizes video segments containing out-of-the-ordinary motions or objects. Most recent techniques in video anomaly detection have focused on reconstruction and prediction methods; however, in… read more here.
Keywords: information; video anomaly; detection; prediction ... See more keywords
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3166275
Abstract: Traffic accidents caused by distracted drivers account for a large proportion of traffic accidents each year, and monitoring the driving state of drivers to avoid traffic accidents caused by distracted driving has become a very… read more here.
Keywords: unsupervised deep; driver; driver distraction; detection ... See more keywords
A New Unsupervised Detector of High-Frequency Oscillations in Accurate Localization of Epileptic Seizure Onset Zones
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2018.2877820
Abstract: This paper presents a new unsupervised detector for automatically detecting high-frequency oscillations (HFOs) using intracranial electroencephalogram (iEEG) signals. This detector does not presuppose a specific number of clusters and has a good performance. First, the… read more here.
Keywords: epileptic seizure; unsupervised detector; frequency oscillations; high frequency ... See more keywords
A new unsupervised feature selection algorithm using similarity‐based feature clustering
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence"
DOI: 10.1111/coin.12183
Abstract: No abstract is available for this article. read more here.
Keywords: feature selection; feature; selection algorithm; algorithm using ... See more keywords