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Improving NNMFPACK with heterogeneous and efficient kernels for -divergence metrics
N Díaz-Gracia, A Cocaña-Fernández… - The Journal of …, 2015 - Springer
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 …
NNMF is an essential tool in many fields spanning machine learning, data analysis, image …
Online score‐informed source separation in polyphonic mixtures using instrument spectral patterns
Soundprism is a real‐time algorithm to separate polyphonic music audio into source signals,
given the musical score of the audio in advance. This paper presents a framework for a …
given the musical score of the audio in advance. This paper presents a framework for a …
Real-time soundprism
This paper presents a parallel real-time sound source separation system for decomposing
an audio signal captured with a single microphone in so many audio signals as the number …
an audio signal captured with a single microphone in so many audio signals as the number …
HPC algorithms for nonnegative decompositions
P San Juan Sebastián - 2018 - riunet.upv.es
Muchos problemas procedentes de aplicaciones del mundo real pueden ser modelados
como problemas matemáticos con magnitudes no negativas, y por tanto, las soluciones de …
como problemas matemáticos con magnitudes no negativas, y por tanto, las soluciones de …
Experiments with the NNMFPACK library: influence of beta parameter in the NNMF approximation error
P San Juan Sebastián, AM Vidal Maciá… - 2015 - riunet.upv.es
[EN] NnmfPack is a numerical library designed to compute efficiently the Non-Negative
Matrix Factorization (NNMF). It has been conceived for shared memory heterogeneous …
Matrix Factorization (NNMF). It has been conceived for shared memory heterogeneous …