San Juan Sebastián, Pablo; Vidal Maciá, Antonio Manuel; García Mollá, Víctor Manuel; Martínez Zaldívar, Francisco José; Ranilla, J.; Alonso, P.; Alonso-González, M.; Cortina, R.(CMMSE, 2015-07)
[EN] NnmfPack is a numerical library designed to compute efficiently the
Non-Negative Matrix Factorization (NNMF). It has been conceived for
shared memory heterogeneous parallel systems, and it supports, from its
conception, ...
Díaz-Gracia, N.; Cocaña-Fernández, A.; Alonso-González, M:; Martínez Zaldívar, Francisco José; Cortina, Raquel; García Mollá, Víctor Manuel; Alonso, P.; Ranilla, J.; Vidal Maciá, Antonio Manuel(Springer Verlag (Germany), 2015-05)
NnmfPack is a library for the nonnegative matrix factorization (NNMF) problem. Nowadays NNMF is an essential tool in many fields spanning machine learning, data analysis, image analysis or audio source separation, among ...
Alonso, P.; García Mollá, Víctor Manuel; Martínez Zaldívar, Francisco José; Salazar Afanador, Addisson; Vergara Domínguez, Luís; Vidal Maciá, Antonio Manuel(Springer Verlag (Germany), 2014-11)
We tackle the parallelization of Non-Negative Matrix Factorization (NNMF), using the Alternating Least Squares and Lee and Seung algorithms, motivated by its use in audio source separation. For the first algorithm, a very ...
San Juan Sebastián, Pablo; Vidal Maciá, Antonio Manuel; García Mollá, Víctor Manuel(Elsevier, 2016-12-08)
The Non-Negative Matrix Factorization (NNMF) is a recent numerical tool that, given a nonnegative
data matrix, tries to obtain its factorization as the approximate product of two
nonnegative matrices. Nowadays, this ...