Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications 论文
2019IEEE Signal Processing Magazine引用 228
Face and Expression RecognitionTensor decomposition and applicationsRemote-Sensing Image Classification
摘要
Nonnegative matrix factorization (NMF) aims to factor a data matrix into low-rank latent factor matrices with nonnegativity constraints.
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