SDNMF: Semisupervised discriminative nonnegative matrix factorization for feature learning

Yugen Yi, Shumin Lai, Wenle Wang, Shicheng Li, Renbo Zhang, Yong Luo, Wei Zhou, Jianzhong Wang

Abstract: As one of the most effective feature learning methods, Nonnegative Matrix Factorization (NMF) has been widely used in many scientific fields, such as computer vision, data mining, and bioinformatics....