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Softmax discriminant classifier

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

57 Scopus citations

Abstract

A simple but effective classifier, which is called soft max discriminant classifier or SDC for short, is presented. Based on the soft max discriminant function, SDC assigns the label information to a new testing sample by nonlinear transformation of the distance between the testing sample and training samples. Experimental results on some well-known data sets demonstrate the feasibility and effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Multimedia Information Networking and Security, MINES 2011
Pages16-19
Number of pages4
DOIs
StatePublished - 2011
Event3rd International Conference on Multimedia Information Networking and Security, MINES 2011 - Shanghai, China
Duration: 4 Nov 20116 Nov 2011

Publication series

NameProceedings - 3rd International Conference on Multimedia Information Networking and Security, MINES 2011

Conference

Conference3rd International Conference on Multimedia Information Networking and Security, MINES 2011
Country/TerritoryChina
CityShanghai
Period4/11/116/11/11

Keywords

  • classifier
  • nonlinear transformation
  • softmax discriminant function

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