Results 31 to 40 of about 21,847 (188)
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization
IEEE Transactions on Signal Processing, 2015 25 pages, 5 figures, 7 tables. Main changes: comparison with another symNMF algorithm (namely, BetaSNMF), and correction of an error in the convergence ...
Vandaele, Arnaud +4 more
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Microbial community pattern detection in human body habitats via ensemble clustering framework [PDF]
, 2014 The human habitat is a host where microbial species evolve, function, and continue to evolve. Elucidating how microbial communities respond to human habitats is a fundamental and critical task, as establishing baselines of human microbiome is essential ...
Chua, Hon-Nian +5 more
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Frontiers in Genetics, 2018 Increasing evidence has indicated that microRNAs (miRNAs) are associated with numerous human diseases. Studying the associations between miRNAs and diseases contributes to the exploration of effective diagnostic and treatment approaches for diseases ...
Yan Zhao, Xing Chen, Jun Yin
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On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices
Linear Algebra and its Applications, 2004 Let \(V\) be a nonnegative matrix. The nonnegative matrix factorization problem consists of finding nonnegative matrix factors \(W \in \mathbb{R}^{m,r}\) and \(H \in \mathbb{R}^{r,n}\) such that \(V \approx WH\). \textit{D. D. Lee} and \textit{H. S. Seung} [Unsupervised learning by convex and conic coding, Adv. Neural Inf. Process. Syst.
Catral, M. +3 more
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CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization [PDF]
Neurocomputing, 2018 Abstract Nonnegative matrix factorization (NMF) is a very popular unsupervised or semi-supervised learning method useful in various applications including data clustering, image processing, and semantic analysis of documents. This study focuses on Symmetric NMF (SNMF), which is a special case of NMF and can be useful in network analysis.
Li-Ping Tian +4 more
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Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]
, 2009 Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Bink, M.C.A.M. +3 more
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Lyrics-to-Audio Alignment by Unsupervised Discovery of Repetitive Patterns in Vowel Acoustics
IEEE Access, 2017 Most of the previous approaches to lyrics-to-audio alignment used a pre-developed automatic speech recognition (ASR) system that innately suffered from several difficulties to adapt the speech model to individual singers.
Sungkyun Chang, Kyogu Lee
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Algorithms for Positive Semidefinite Factorization
, 2017 This paper considers the problem of positive semidefinite factorization (PSD factorization), a generalization of exact nonnegative matrix factorization. Given an $m$-by-$n$ nonnegative matrix $X$ and an integer $k$, the PSD factorization problem consists
Gillis, Nicolas +2 more
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Pick matrix conditions for sign-definite solutions of the algebraic Riccati equation [PDF]
, 2001 We study the existence of positive and negative semidefinite solutions of algebraic Riccati equations (ARE) corresponding to linear quadratic problems with an indefinite cost functional.
Rapisarda, Paolo, Trentelman, Harry L.
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MathematicsRecently, community detection has emerged as a prominent research area in the analysis of complex network structures. Community detection models based on non-negative matrix factorization (NMF) are shallow and fail to fully discover the internal ...
Wei Zhang +4 more
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