Multimodal optimization in the context of Sparse Component Analysis

Author

Nadalin, Everton Z. ; Boccato, Levy ; Attux, Romis ; Duarte, Leonardo T. ; Lopes, Amauri ; Romano, João Marcos T ; Suyama, Ricardo

Author_Institution

DCA, Univ. of Campinas (UNICAMP), Campinas, Brazil

fYear

2011

fDate

11-15 April 2011

Firstpage

85

Lastpage

91

Abstract

In this work, we investigate the use of a multimodal search framework to deal with a representative formulation of the Sparse Component Analysis (SCA) problem. The proposed method, which employs an artificial immune network in the role of multimodal optimization tool, is explained and tested in different scenarios. The results are promising and indicate the relevance of using global search tool in SCA, as well as the soundness of the immune-inspired proposal.

Keywords

blind source separation; independent component analysis; optimisation; artificial immune network; blind source separation; multimodal optimization; multimodal search framework; sparse component analysis; Cloning; Context; Estimation; Immune system; Optimization; Sensors; Source separation; artificial immune systems; multimodal optimization; source separation; sparse component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2011 IEEE Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-9913-7

Type

conf

DOI

10.1109/CIMSIVP.2011.5949237

Filename

5949237