San Juan Sebastián, P.; Vidal Maciá, AM.; García Mollá, VM.; Martínez Zaldívar, FJ.; Ranilla, J.; Alonso, P.; Alonso-González, M.... (2015). Experiments with the NNMFPACK library: influence of beta parameter in the NNMF approximation error. CMMSE. http://hdl.handle.net/10251/75307
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/75307
Title:
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Experiments with the NNMFPACK library: influence of beta parameter in the NNMF approximation error
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Author:
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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.
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
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Issued date:
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Abstract:
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[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, ...[+]
[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, both conventional multi-core processors and many-core
coprocessors. NnmfPack offers different algorithms which allow to handle
different metrics options such as beta-divergence or Frobenius norm. In
real applications the choice of the beta parameter presents a problem for
the users of the NNMF that must decide which value to use to obtain the
best approximation. In this paper, the influence of the parameter beta in
the NNMF approximation error for different problems is empirically
evaluated. Different datasets have been used in order to analyze
and evaluate the dependency between the quality of the approximation
provided by NnmfPack and the value of the beta parameter used.
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Subjects:
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NNMFPack
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NNMF
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Multi-core
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GPU
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Beta-divergence
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Experimental results
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Copyrigths:
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Reserva de todos los derechos
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ISBN:
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978-84-617-2230-3
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Source:
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Publisher:
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CMMSE
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Publisher version:
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http://cmmse.usal.es/cmmse2017/proceedings-and-instructions-for-authors
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Conference name:
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15th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2015)
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Conference place:
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Rota, Cadiz, Spain
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Conference date:
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July 6-10, 2015
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Project ID:
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info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/
info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-04/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: COMPUTACION DISTRIBUIDA/
info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F003/ES/Computación y comunicaciones de altas prestaciones y aplicaciones en ingeniería/
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Thanks:
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This work has been partially supported by Ministerio de Economía y Competitividad from Spain, under the projects TEC2012-38142-C04-01 and TEC2012-38142-C04-04 and by PROMETEO FASE II 2014/003 projects of Generalitat Valenciana.[+]
This work has been partially supported by Ministerio de Economía y Competitividad from Spain, under the projects TEC2012-38142-C04-01 and TEC2012-38142-C04-04 and by PROMETEO FASE II 2014/003 projects of Generalitat Valenciana.
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Type:
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Comunicación en congreso
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