Using biased support vector machine to improve retrieval result in image retrieval with self-organizing map

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 714-719

  Chan, Chi Hang ^a   King, Irwin ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; CONTENT BASED RETRIEVAL; FACE RECOGNITION; FEEDBACK; IMAGE RETRIEVAL; SELF ORGANIZING MAPS; VECTOR SPACES; VECTORS;

BINARY CLASSIFIERS; COMBINED SCHEMES; CONTENT-BASED IMAGE RETRIEVAL; FEATURE VECTORS; IMBALANCED DATASET PROBLEMS; LEARNING TECHNIQUES; RELEVANCE FEEDBACK; RETRIEVAL PERFORMANCE;

SUPPORT VECTOR MACHINES;

EID: 35048814578     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_109     Document Type: Article

References (10)

1. Tong, S., Chang, E.: Support vector machine active learning for image retrieval. In: Proceedings of the ninth ACM international conference on Multimedia, ACM Press (2001) 107-118
2. Chen, Y., Zhou, X., Huang, T.S.: One-class svm for learning in image retrieval. In: Proceedings of the IEEE international conference on Image Processing. (2001) 34-37
3. Rui, Y., Huang, T.S., Ortega, M., Mehrota, S.: Relevance feedback: A power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Video Technology (1998) 644-355
4. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer (1995)
5. Tax, D.M.J., Duin, R.P.W.: Support vector domain description. Pattern Recignition Letters 20 (1999) 1191-1199
6. Chan, C.H., Sia, K.C., King, I.: Utilizing inter and intra-query relevance feedback for content-based image retrieval. In: Special Session of Joint 13th International Conference on Artificial Neural Network and 10th International Conference on Neural Information Processing. (2003)
7. He, X., King, O., Ma, W.Y., Li, M., Zhang, H.J.: Learning a semantic space from user's relevance feedback for image retrieval. IEEE Transactions on Circuits and Systems for Video Technology 13 (2003) 39-48
8. Oja, E., Kaski, S.: Kohonen Maps. Hardbound (1999)
9. Hoi, C.H., Chan, C.H., Huang, K., Lyu, M.R., King, I.: Biased support vector machine for relevance feedback in image retrieval. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN'04) accepted. (2004)
10. Scholkopf, B., Smola, A., Williamson, R., Bartlett, P.L.: New support vector algorithms. Neural Computation 12 (2000) 1207-1245