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Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs
To address this issue, in this paper we propose Deep Embedded Multi-view Clustering via Jointly Learning Latent Representations and Graphs (DMVCJ), which utilizes the latent graphs to promote the performance of deep embedded MVC models from two aspects.
Non-Linear Fusion for Self-Paced Multi-View Clustering
In NSMVC, we directly assign different exponents to different views according to their qualities.
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