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Self-supervised semi-supervised nonnegative matrix factorization for data clustering

Pattern Recognition, 2022
Jovan Chavoshinejad   +3 more
semanticscholar   +1 more source

Nonnegative Matrix Factorization

Proceedings of the 2015 ACM International Symposium on Symbolic and Algebraic Computation, 2015
How quickly can we compute the nonnegative rank (r) of an m x n matrix? This problem ---- and the companion problem of finding a nonnegative matrix factorization with minimum inner-dimension ---- has a rich history, with applications in quantum mechanics, probability theory, data analysis, communication complexity and polyhedral combinatorics.
openaire   +1 more source

Parameter-less Auto-weighted multiple graph regularized Nonnegative Matrix Factorization for data representation

Knowledge-Based Systems, 2017
Zhenqiu Shu   +6 more
semanticscholar   +1 more source

The rise of nonnegative matrix factorization: Algorithms and applications

Information Systems
Yi-Ting Guo   +2 more
semanticscholar   +1 more source

Generalized Separable Nonnegative Matrix Factorization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Junjun Pan, Nicolas Gillis
exaly  

Algorithms and applications for approximate nonnegative matrix factorization

Computational Statistics and Data Analysis, 2007
Michael W Berry   +2 more
exaly  

Robust Manifold Nonnegative Matrix Factorization

ACM Transactions on Knowledge Discovery From Data, 2014
Feiping Nie, Heng Huang, Chris Ding
exaly  

Constrained Nonnegative Matrix Factorization for Image Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Haifeng Liu, Deng Cai, Xuelong Li
exaly  

An alternating direction algorithm for matrix completion with nonnegative factors

Frontiers of Mathematics in China, 2012
Yangyang Xu, Wotao Yin, Zaiwen Wen
exaly  

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