Orthogonal Complement Component Analysis For Positive Samples In Svm Based Relevance Feedback Image Retrieval

IEEE Computer Soc
Publication Type:
Conference Proceeding
Proceedings Of The 2004 IEEE Computer Society Conference On Computer Vision And Pattern Recognition, Vol 2, 2004, 0 pp. 586 - 591
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011001294OK.pdf379.31 kB
Adobe PDF
Relevance feedback (RF) is an important tool to improve the performance of content-based image retrieval system. Support vector machine (SVM based RF is popular because it can generalize better than most other classifiers. However, directly using SVM in
Please use this identifier to cite or link to this item: