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Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering
Non-negative matrix factorization (NMF) has been one of the most popular methods for feature learning in the field of machine learning and computer vision.
Xuelong Li +2 more
exaly +2 more sources
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Robust Manhattan non-negative matrix factorization for image recovery and representation
Information Sciences, 2020Xiangguang Dai +2 more
exaly
An enhanced EMG-driven Musculoskeletal model based on non-negative matrix factorization
Biomedical Signal Processing and Control, 2023Jianmin Li, Ruyi Wang, Lizhi Pan
semanticscholar +1 more source
Graph dual regularization non-negative matrix factorization for co-clustering
Pattern Recognition, 2012Fanhua Shang, L C Jiao
exaly
Max-margin Non-negative Matrix Factorization
Image and Vision Computing, 2012B. G. Vijay Kumar +2 more
openaire +1 more source
Non-negative matrix factorization with α-divergence
Pattern Recognition Letters, 2008Andrzej Cichocki +2 more
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