Results 91 to 100 of about 7,807 (178)

Two-step Nonnegative Matrix Factorization Algorithm for the Approximate Realization of Hidden Markov Models

, 2010
We propose a two-step algorithm for the construction of a Hidden Markov Model (HMM) of assigned size, i.e. cardinality of the state space of the underlying Markov chain, whose $n$-dimensional distribution is closest in divergence to a given distribution.
Finesso, L., Grassi, A., Spreij, P.
core  

Diffuse Optical Imaging Using Decomposition Methods

International Journal of Optics, 2012
Diffuse optical imaging (DOI) for detecting and locating targets in a highly scattering turbid medium is treated as a blind source separation (BSS) problem.
Binlin Wu, M. Alrubaiee, W. Cai, M. Xu, S. K. Gayen   +4 more
doaj   +1 more source

Extraction de systèmes de consommation alimentaire utilisant la Nonnegative Matrix Factorization (NMF) pour l'évaluation des choix alimentaires.

, 2010
Dans les pays occidentaux où l'approvisionnement alimentaire est satisfaisant, les consommateurs agencent leur régime au moyen d'un grand nombre d'aliments. L'objectif de ce travail est d'étudier comment une technique récente en analyse de variables latentes, la "Nonnegative Matrix Factorization"(NMF), peut être appliquée aux données de consommation ...
Zetlaoui, Mélanie, Clémençon, Stéphan, Feinberg, Max, Verger, Philippe   +3 more
openaire   +1 more source

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization

EURASIP Journal on Advances in Signal Processing, 2005
We propose the use of nonnegative matrix factorization (NMF) as a model-independent methodology to analyze neural activity. We demonstrate that, using this technique, it is possible to identify local spatiotemporal patterns of neural activity in the ...
Nicolelis Miguel AL, Rao Yadunandana N, Sanchez Justin C, Erdogmus Deniz, Kim Sung-Phil, Principe Jose C   +5 more
doaj   +1 more source

A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization [PDF]

Journal of Sciences, Islamic Republic of Iran, 2015
Nonnegative matrix factorization (NMF) is a common method in data mining that have been used in different applications as a dimension reduction, classification or clustering method. Methods in alternating least square (ALS) approach usually used to solve
M. Rezghi, M. Yousefi
doaj  

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

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

Neighborhood nonnegative matrix factorization identifies patterns and spatially-variable genes in large-scale spatial transcriptomics data. [PDF]

Genome Biol
Laursen R, Chen H, Demaray J, Pelka K, Engelhardt BE.   +4 more
europepmc   +1 more source

Non-negative matrix factorization and deconvolution as a dual simplex problem. [PDF]

Genome Biol
Kleverov D, Aladyeva E, Serdyukov A, Artyomov MN.   +3 more
europepmc   +1 more source

Nonnegative matrix factorization incorporating domain specific constraints for four dimensional scanning transmission electron microscopy. [PDF]

Sci Rep
Kimoto K, Uesugi F, Harano K, Kikkawa J, Cretu O, Shibazaki Y, Shiga M, Togo A.   +7 more
europepmc   +1 more source

Identification of differentially expressed genes in RNA-seq data via semi-rigid orthogonal sparse KL-NMTF. [PDF]

BMC Bioinformatics
Gargano G, Esposito F, Del Buono N, Ciavarella S, Vegliante MC.   +4 more
europepmc   +1 more source