A multiple instance learning approach for content based image retrieval using one-class support vector machine Conference

Zhang, C, Chen, X, Chen, M et al. (2005). A multiple instance learning approach for content based image retrieval using one-class support vector machine . 2005 1142-1145. 10.1109/ICME.2005.1521628

cited authors

  • Zhang, C; Chen, X; Chen, M; Chen, SC; Shyu, ML

abstract

  • Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on One-Class Support Vector Machine (SVM) to solve MIL problem in the region-based Content Based Image Retrieval (CBIR). Relevance Feedback technique is incorporated to provide progressive guidance to the learning process. Performance is evaluated and the effectiveness of our retrieval algorithm has been shown through comparative studies. ©2005 IEEE.

publication date

  • December 1, 2005

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 10

  • 0780393325

International Standard Book Number (ISBN) 13

  • 9780780393325

start page

  • 1142

end page

  • 1145

volume

  • 2005