Results 141 to 150 of about 4,116 (162)
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Nonsmooth nonnegative matrix factorization (nsNMF)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006We propose a novel nonnegative matrix factorization model that aims at finding localized, part-based, representations of nonnegative multivariate data items. Unlike the classical nonnegative matrix factorization (NMF) technique, this new model, denoted "nonsmooth nonnegative matrix factorization" (nsNMF), corresponds to the optimization of an ...
Roberto D Pascual-Marqui +2 more
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Parallelism on the Nonnegative Matrix Factorization
2012A great interest has been given to the Nonnegative Matrix Factorization (NMF) due to its ability of extracting highly-interpretable parts from data sets. Nonetheless, its usage is hindered by the computational complexity when processing large matrices.
Edgardo Mejía-Roa +6 more
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The Nonnegative Matrix Factorization: Regularization and Complexity
SIAM Journal on Scientific Computing, 2016Summary: Data continues to grow, and it has become ever important to find effective big data analysis techniques. Computational tools, such as singular value decomposition, have been employed in the interpretation of big data. Another tool has recently gained popularity and comparative success: the nonnegative matrix factorization (NMF). The NMF method
Kazufumi Ito, A. K. Landi
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Nonnegative Matrix Factorization
Proceedings of the 2015 ACM International Symposium on Symbolic and Algebraic Computation, 2015How 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.
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Document clustering using nonnegative matrix factorization
Information Processing and Management, 2006Michael W Berry, Robert Plemmons
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Algorithms and applications for approximate nonnegative matrix factorization
Computational Statistics and Data Analysis, 2007Michael W Berry +2 more
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Robust Manifold Nonnegative Matrix Factorization
ACM Transactions on Knowledge Discovery From Data, 2014Feiping Nie, Heng Huang, Chris Ding
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Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization
SIAM Journal on Matrix Analysis and Applications, 2015Nicolas Gillis
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Computing a Nonnegative Matrix Factorization---Provably
SIAM Journal on Computing, 2016Sanjeev Arora, Ravi Kannan
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