Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Huiyu Mu"'
2
Abnormal Human Behavior Detection in Videos: A Review
Autor: Ruizhi Sun, Gang Yuan, Yun Wang, Huiyu Mu
Publikováno v: Information Technology and Control. 50:522-545
Modeling human behavior patterns for detecting the abnormal event has become an important domain in recentyears. A lot of efforts have been made for building smart video surveillance systems with the purpose ofscene analysis and making correct semant
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86531c50128c06055424680344fb71d5
https://doi.org/10.5755/j01.itc.50.3.27864
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4
Adaptive density peak clustering based on dimensional-free and reverse k-nearest neighbors
Autor: Huiyu Mu, Qiannan Wu, Feiyu Shang, Ruizhi Sun, Li Li, Qianqian Zhang
Publikováno v: Information Technology And Control. 49:395-411
Cluster analysis plays a crucial component in consumer behavior segment. The density peak clustering algorithm (DPC) is a novel density-based clustering method. However, it performs poorly in high-dimension datasets and the local density for boundary
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::849dec607ccce9e7250cbe02d1a52bb7
https://doi.org/10.5755/j01.itc.49.3.23405
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7
Selection Biased Positive and Unlabeled Learning Method for Anomaly Detection in Surveillance Videos
Autor: Ruizhi Sun, Shanshan Qi, Huiyu Mu, Feiyu Shang
Publikováno v: CSCWD
Anomaly detection in surveillance videos aims at identifying abnormal event under specific scenarios and it is widely applied in public security, smart city, and pedestrian surveillance. In the weakly-supervised setting, most existing anomaly detecti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d074441a152114c99a25a9200d51d87b
https://doi.org/10.1109/cscwd49262.2021.9437826
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10
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
Autor: Jiucheng Xu, Fangzhou Huang, Huiyu Mu, Yun Wang
Publikováno v: Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2018 (2018)
The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6787f61b97a37164f0dec5510135a523
https://doi.org/10.1155/2018/5490513
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