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Abstract: In this paper, we propose a fast sparse Nonnegative Matrix Factorization algorithm incorporating manifold identification techniques. Within an alternating update framework, it adaptively ...
Abstract: Matrix factorization is a fundamental characterization model in machine learning and is usually solved using mathematical decomposition reconstruction loss. However, matrix factorization is ...
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