Hybrid learning schemes for multimedia information retrieval

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

Volumn 2532, Issue , 2002, Pages 556-563

  Lai, Wei Cheng ^a   Chang, Edward ^b  

^a VIMA Technologies   (United States)

^b Tim)   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; QUERY LANGUAGES; SEARCH ENGINES;

ACTIVE-LEARNING ALGORITHM; BINARY CLASSIFIERS; EMPIRICAL STUDIES; FEATURE DIMENSIONS; HYBRID ALGORITHMS; HYBRID LEARNING; MULTIMEDIA INFORMATION RETRIEVAL; PERCEPTUAL FEATURE;

QUERY PROCESSING;

EID: 84949982444     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36228-2_69     Document Type: Conference Paper

References (10)

1. Beitao Li, Edward Chang, and Chung-Sheng Li. Learning image query concepts via intelligent sampling. Proceedings of IEEE Multimedia and Expo, August 2001.
2. Simon Tong and Edward Chang. Support vector machine active learning for image retrieval. Proceedings of ACM International Conference on Multimedia, pages 107–118, October 2001.
3. Edward Chang and Beitao Li. Mega — the maximizing expected generalization algorithm for learning complex query concepts (extended version). Technical Report http://www-db.stanford.edu/∼echang/mega-tois.pdf, November 2000.
4. Michael Kearns, Ming Li, and Leslie Valiant. Learning boolean formulae. Journal of ACM, 41(6):1298–1328, 1994.
5. A. Blum and T. Mitchell. Combining Labeled and Unlabeled Data wih Co-Training. Proceedings of the Workshop on Computational Learning Theory, 1998.
6. Edward Chang, Kwang-Ting Cheng, and Lisa Chang. PBIR — perception-based image retrieval. ACM Sigmod (Demo), May 2001.
7. James Wang, Jia Li, and Gio Wiederhold. Simplicity: Semantics-sensitive integrated matching for picture libraries. ACM Multimedia Conference, 2000.
8. Beitao Li, Wei-Cheng Lai, Edward Chang, and Kwang-Ting Cheng. Minig image features for efficient query processing. Proceedings of IEEE Data Mining, November 2001.
9. Y. Ishikawa, R. Subramanya, and C. Faloutsos. Mindreader: Querying databases through multiple examples. VLDB, 1998.
10. Leejay Wu, Christos Faloutsos, Katia Sycara, and Terry R. Payne. Falcon: Feedback adaptive loop for content-based retrieval. The 26th VLDB Conference, September 2000.