PukiWiki contents have been moved into SONOTS Plugin (20070703)

Project: A Comparison of Multi-class Support Vector Machine Methods with respect to Face Recognition Problem

Table of Contents


Support vector machines (SVMs) are originally designed for binary classification problem. How to effectively extend it for multi-class classification problem is still an on-going research issue. In this project, several multi-class SVM methods, one-against-all, one-against-one, DAGSVM, Weston's multi-class SVM, and Crammer's multi-class SVM were compared subject to Face Recognition problem.

The report is available at filereport.pdf

First Edition: Dec 2007. Last Modified: Dec 2007
Tag: Scientific ComputerVision PatternRecognition SVM Matlab LIBSVM

Source Codes

I wrote matlab interfaces for LIBSVM, BSVM. I put the source codes here. Put LIBSVM and BSVM executable(s) at somewhere in the matlab path (e.g., current directory). cvuSearchPath detects where they are.