Yanfang Long

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization

Non-negative matrix factorization (NMF) is an efficient model in learning parts-based data representation. Since the local geometrical structure can be effectively modeled by a nearest neighbor graph, the graph regularized NMF (GNMF) was proposed to make the learned representation more faithfully an…