Comparing discriminating transformations and SVM for learning during multimedia retrieval

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue IV, 2001, Pages 137-146

  Zhou, X S ^a   Huang, T S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Discriminating transform; Kernel method; Multimedia retrieval; Relevance feedback; Support vector machine

Indexed keywords

COMPUTER MUSIC; HEURISTIC METHODS; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL TRANSFORMATIONS; MULTIMEDIA SYSTEMS; QUERY LANGUAGES;

BIASED DISCRIMINANT TRANSFORM; BOOSTING TECHNIQUE; OPTIMAL LEARNING ALGORITHMS; PROBABILISTIC-BAYESIAN LEARNING ALGORITHMS; RELEVANCE FEEDBACK TECHNIQUE; SUPPORT VECTOR MACHINE;

LEARNING ALGORITHMS;

EID: 0034792754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/500160.500163     Document Type: Conference Paper

References (38)

1. Generalized discriminant analysis using a kernel approach
2. Incremental and decremental support vector machine learning
3. Hierarchical browsing and search of large image databases
4. One-class SVM for learning in image retrieval
5. Distribution free decomposition of multivariate data
6. An optimized interaction strategy for bayesian relevance feedback
7. Pattern classification and scene analysis
8. Query by image and video content: The qbic system
9. A short introduction to boosting
10. Regularized discriminant analysis
11. Incorporate support vector machines to content-based image retrieval with relevance feedback
12. MindReader: Query databases through multiple examples
13. PicSOM: Self-organizing maps for content-based image retrieval
14. Relevance feedback and category search in image databases
15. A mathematical programming approach to the Kernel Fisher algorithm
16. Multimodal pattern matching for audio/visual query and retrieval
17. Efficient query refinement for image retrieval
18. Probabilistic feature relevance learning for content-based image retrieval
19. Modeling user subjectivity in image libraries
20. Query reformulation for content based multimedia retrieval in MARS
21. Relevance feedback: A power tool in interactive content-based image retrieval
22. Optimizing learning in image retrieval
23. Automatic text processing
24. Integrated browsing and querying for image database
25. Content-based color image retrieval with relevance feedback
26. VisualSEEk: A fully automated content-based image query system
27. Transform features for texture classification and discrimination in large image databases
28. Content-based video indexing and retrieval
29. Boosting image retrieval
30. The nature of statistical learning theory
31. Bayesian relevance feedback for content-based image retrieval
32. Content-based classification search and retrieval of audio
33. Iterative refinement by relevance feedback in content-based digital image retrieval
34. Interaction in content-based image retrieval: A state-of-the-art review
35. Discriminant EM algorithm with application to image retrieval
36. Image retrieval: Feature primitives, feature representation, and relevance feedback
37. Edge-based structural feature for content-based image retrieval
38. A generalized relevance feedback scheme for image retrieval