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 different view data. In this paper, we argue that the existing… (More)
DOI: 10.1109/TIP.2017.2754942


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