Active learning for image retrieval with Co-SVM

Pattern Recognition

Volumn 40, Issue 1, 2007, Pages 330-334

  Cheng, Jian ^a,b   Wang, Kongqiao ^b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b NOKIA RESEARCH CENTER   (United States)

Author keywords

Active learning; Image retrieval; Relevance feedback; Selective sampling; Support vector machines

Indexed keywords

COLOR; DATA ACQUISITION; IMAGE PROCESSING; LEARNING ALGORITHMS; TEXTURES;

ACTIVE LEARNING; RELEVANCE FEEDBACK; SELECTIVE SAMPLING; SUPPORT VECTOR MACHINES;

IMAGE RETRIEVAL;

EID: 33749445935     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.06.005     Document Type: Article

References (5)

1. Rui Y., Huang T.S., and Chang S.F. Image retrieval: current techniques, promising directions and open issues. J. Visual Commun. Image Representation 10 (1999) 39-62
2. S. Tong, E. Chang, Support vector machine active learning for image retrieval, in: Proceedings of the Ninth ACM International Conference on Multimedia, 2001, pp. 107-118.
3. A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in: Proceedings of the 11th Annual Conference on Computational Learning Theory, 1998, pp. 92-100.
4. I. Muslea, S. Minton, C.A. Knoblock, Selective sampling with redundant views, in: Proceedings of the 17th National Conference on Artificial Intelligence, 2000, pp. 621-626.
5. Vapnik V. Statistical Learning Theory (1998), Wiley, New York