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Found 2 papers, 1 papers with code
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data
To address these concerns, we present a partially shared semi-supervised deep matrix factorization model (PSDMF).
Multi-view Data Classification with a Label-driven Auto-weighted Strategy
However, existing strategies cannot take advantage of semi-supervised information, only distinguishing the importance of views from a data feature perspective, which is often influenced by low-quality views then leading to poor performance.
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