- -

Generalization of the K-SVD algorithm for minimization of ß-divergence

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Generalization of the K-SVD algorithm for minimization of ß-divergence

Show full item record

García Mollá, VM.; San Juan-Sebastian, P.; Virtanen, T.; Vidal Maciá, AM.; Alonso-Jordá, P. (2019). Generalization of the K-SVD algorithm for minimization of ß-divergence. Digital Signal Processing. 92:47-53. https://doi.org/10.1016/j.dsp.2019.05.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/123503

Files in this item

Item Metadata

Title: Generalization of the K-SVD algorithm for minimization of ß-divergence
Author: García Mollá, Víctor Manuel San Juan-Sebastian, Pablo Virtanen, T. Vidal Maciá, Antonio Manuel Alonso-Jordá, Pedro
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Embargo end date: 2021-09-01
Abstract:
[EN] In this paper, we propose, describe, and test a modification of the K-SVD algorithm. Given a set of training data, the proposed algorithm computes an overcomplete dictionary by minimizing the ß-divergence () between ...[+]
Subjects: K-SVD , Nonnegative K-SVD , Beta-divergence , NMF , Matching pursuit algorithms
Copyrigths: Embargado
Source:
Digital Signal Processing. (issn: 1051-2004 )
DOI: 10.1016/j.dsp.2019.05.001
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.dsp.2019.05.001
Thanks:
This work has been partially supported by the EU together with the Spanish Government through TEC2015-67387-C4-1-R (MINECO/FEDER) and by Programa de FPU del Ministerio de Educacion, Cultura y Deporte FPU13/03828 (Spain).
Type: Artículo

This item appears in the following Collection(s)

Show full item record