Concept learning and transplantation for dynamic image databases

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 1, Issue , 2003, Pages I765-I768

  Dong, Anlei ^a   Bhanu, Bir ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; FEEDBACK; QUERY PROCESSING;

CONCEPT LEARNING; CONTENTBASED IMAGE RETRIEVAL (CBIR) SYSTEM; CONTINUOUS LEARNING; DYNAMIC DATABASE; DYNAMIC IMAGES; MIXTURE MODEL; QUERY IMAGES; RELEVANCE FEEDBACK;

SEARCH ENGINES;

EID: 20244385197     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2003.1221030     Document Type: Conference Paper

References (8)

1. P. Yin, B. Bhanu, K. Chang, and A. Dong, "Improving retrieval performance by long-term relevance information, " Proc. I CPU, vol. III, pp. 533-536, Aug. 2002.
2. J. Fournier and M. Cord, "Long-term similarity learning in content-based image retrieval, " Proc. ICIP, vol. 1, pp. 441-444, Sept. 2002.
3. N. Vasconcelos, "On the complexity of probabilistic image retrieval, " Proc. ICCV, vol. 2, pp. 400-407, 2001.
4. K. Barnard and D. Forsyth, "Learning the semantics of words and pictures, " Proc. ICCV, vol. 2, 2001.
5. G. McLachlan and D. Peel, Finite Mixture Models, John Wiley & Sons, 2000.
6. Y. Wu and T. S. Huang, "Towards self-exploring discriminating features for visual learning, " Engineering Applications of AI, vol. 15, pp. 139-150, Sept. 2002.
7. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell, "Text classification from labeled and unlabeled documents using EM, " Machine Learning, vol. 39, pp. 103-134, 1999.
8. A. Dong and B. Bhanu, "A new semi-supervised EM algorithm for image retrieval, " Proc. IEEE CVPR, 2003.