Results 111 to 120 of about 1,727,048 (195)

Approximate nonnegative matrix factorization via alternating minimization

, 2004
In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise) nonnegative matrix V ∈ R m×n + find, for assigned k, nonnegative matrices W ∈ R m×k + and H ∈ R k×n + such that V = W H.
Lorenzo Finesso, Peter Spreij, Spreij, P.J.C.; id_orcid, Finesso, L.   +3 more
core  

Discriminative Nonnegative Matrix Factorization for Dimensionality Reduction

, 2015
Nonnegative Matrix Factorization (NMF) has been widely used for different purposes such as feature learning, dictionary leaning and dimensionality reduction in data mining and computer vision.
Tsoukalas, Stefanos, Babaee, Mohammadreza, Rigoll, Gerald, Babaee, Maryam, Datcu, Mihai, Babaee, M.; Tsoukalas, S.; Rigoll, G.; Datcu, M.   +5 more
core   +1 more source

Multilayer nonnegative matrix factorization

, 2006
: A multilayer approach to Nonnegative Matrix Factorization (NMF) algorithms is proposed. It considerably improves their performance; especially if a problem is ill-conditioned, or data are badly-scaled, and projected gradient algorithms are used.
R. Zdunek, A. Cichocki
core  

Accelerating nonnegative matrix factorization algorithms using extrapolation

, 2019
We propose a general framework to accelerate significantly the algorithms for nonnegative matrix factorization (NMF). This framework is inspired from the extrapolation scheme used to accelerate gradient methods in convex optimization and from the method ...
Ang, Andersen Man Shun, Gillis, Nicolas
core   +1 more source

SVD based initialization: A head start for nonnegative matrix factorization

, 2007
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD can readily be combined with existing NMF algorithms.
E. Gallopoulos, C. Boutsidis
core  

Efficient hybrid algorithm for nonnegative matrix factorization based on modified nonmonotone linear search. [PDF]

PLoS One
Wu J, Li W, Su L, Wang H, Li Y.
europepmc   +1 more source

An Improved Projected Gradient Method for Nonnegative Matrix Factorization

, 2008
Nonnegative Matrix Factorization is an unsupervised learning method for uncovering latent features in high-dimensional data. This report describes a modification of Lin’s Projected Gradient Method for NMF which employs a Newton direction in the line ...
Stephen Ingram
core  

Discovering interpretable low-dimensional dynamics using maximum entropy. [PDF]

Phys Rev E
Chung MC, Mohan T, Dixit PD, Guan J.
europepmc   +1 more source

Recovering missing features in nonnegative matrix factorization via generalized singular value decomposition. [PDF]

iScience
Guo Y, Holy TE.
europepmc   +1 more source

Topology constrained nonnegative matrix factorization for time varying omic expression. [PDF]

Sci Rep
Dey A, Sharma KD, Chatterjee A, Bhattacharjee P.   +3 more
europepmc   +1 more source