Discriminant feature fusion strategy for supervised learning

Jun Bao Li, Shu Chuan Chu, Jung Chou Harry Chang, Jeng Shyang Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

An efficient fusion strategy called discriminant feature fusion strategy for supervised learning is proposed to seek the optimal fusion coefficients of feature fusion. Contributions of this paper lie in: 1) creating a constrained optimization problem based on maximum margin criterion for solving the optimal fusion coefficients, which causes that fused data has the largest class discriminant in the fused feature space; 2) keeping an unique solution of optimization problem by transforming the optimization problem to an eigenvalue problem, which causes the fusion strategy to reach a consistent performance. Besides of the detailed theory derivation, many experimental evaluations also are presented in this paper.

Original languageEnglish
Title of host publicationProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Place of PublicationUnited States of America
Pages301-304
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006 - Pasadena, CA, United States
Duration: 18 Dec 200620 Dec 2006

Publication series

NameProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006

Conference

Conference2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
CountryUnited States
CityPasadena, CA
Period18/12/0620/12/06

Fingerprint Dive into the research topics of 'Discriminant feature fusion strategy for supervised learning'. Together they form a unique fingerprint.

  • Cite this

    Li, J. B., Chu, S. C., Chang, J. C. H., & Pan, J. S. (2006). Discriminant feature fusion strategy for supervised learning. In Proceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006 (pp. 301-304). [4041723] (Proceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006).. https://doi.org/10.1109/IIH-MSP.2006.265003