Probability Preserving Discriminative Nonnegative Matrix Factorization

Non-negative matrix factorization (NMF) has received increasing attention since it is a practical decomposition approach in computer vision and pattern recognition. NMF allows only additive combinations which leads to parts-based representation. Further, NMF and its variants often ignore the underlying local structure information. In this paper, we propose a novel objective which provides enough p...