Consensus Regularized Multi-View Outlier Detection

Identifying different types of data outliers with abnormal behaviors in multi-view data setting is challenging due to the complicated data distributions across different views. Conventional approaches achieve this by learning a new latent feature representation with the pairwise constraint on differ...

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Veröffentlicht in:	IEEE transactions on image processing 2018-01, Vol.27 (1), p.236-248
Hauptverfasser:	Zhao, Handong, Liu, Hongfu, Ding, Zhengming, Fu, Yun
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomaly detection Computational modeling Computer vision consensus regularization Data models Face Feature extraction Multi-view learning Optimization outlier detection
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