Hierarchical ensemble learning for multimedia categorization and autoannotation

Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

Volumn , Issue , 2004, Pages 645-654

  Koisnov, Serhiy ^a   Marchand Maillet, Stéphane ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTATIONAL LINGUISTICS; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; QUERY LANGUAGES;

AUTOANNOTATION; AUTOMATIC LINGUSITICS; HIERARCHICAL ENSEMBLE; TARGET CLASSES;

MULTIMEDIA SYSTEMS;

EID: 17644419716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. K. Barnard, P. Duygulu, N. de Freitas, D. Forsyth, D. Blei and M. Jordan, "Matching Words and Pictures," Journal of Machine Learning Research, vol. 3, pp. 1107-1135, 2003.
2. K. Barnard, P. Duygulu and D. Forsyth, "Recognition as Translating Images into Text," Internet Imaging IX, Electronic Imaging 2003 (Invited paper), 2003.
3. E. Chang, K. Goh, G. Sychay and G. Wu, "CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, pp. 26-38, 2003.
4. N. Cristianini and J. Shawe-Taylor, An introduction to Support Vector Machines and other kernel-based learning methods, Cambridge University Press, 2000.
5. S. Deerwester, S. Dumais, G. Furnas, T. Landauer and R. Harshman, "Indexing by Latent Semantic Analisys," Journal of the American Society of Information Science, , no. 41, pp. 391-407, 1990.
6. J. Friedman, "Another approach to polychotomous classification, " Techn. report, Stanford University, 1996.
7. K.-S. Goh, E. Chang and K.-T. Cheng, "SVM binary classifier ensembles for image classification," in Proceedings of the tenth international conference on Information and knowledge management, ACM Press, 2001, pp. 395-402.
8. S. Koisnov, S. Marchand-Maillet and T. Pun, "Iterative majorization approach to the distance-based discriminant analysis," Presented by S. Kosinov at "Conference of the GfKl 2004", Dortmund, Germany.
9. S. Koisnov, S. Marchand-Maillet and T. Pun, "Visual object categorization using distance-based discriminant analysis," in Proceedings of the 4th International Workshop on Multimedia Data and Document Engineering, July 2004, to appear.
10. S. Kumar, J. Ghosh and M. M. Crawford, "Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis," Pattern Analysis and Applications, vol. 5, pp. 210-220, 2002.
11. T. Landauer and M. Littman, "Fully automatic cross-language document retrieval using latent semantic indexing," in Sixth Annual Conference of the UW Centre for the New Oxford English Dictionary and Text Research, UW Centre for the New OED and Text Research, Waterloo, Ontario, 1990, pp. 31-38.
12. B. Li and K. Goh, "Confidence-based dynamic ensemble for image annotation and semantics discovery," in Proceedings of the eleventh ACM international conference on Multimedia, ACM Press, 2003, pp. 195-206.
13. J. Li and J. Z. Wang, "Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 9, pp. 1075-1088, 2003.
14. Y. Li and L. G. Shapiro, "Object Recognition for Content-Based Image Retrieval," in Lecture Notes in Computer Science, Springer-Verlag, to appear, 2004.
15. G. A. Miller, "WordNet: a lexical database for English," Commun. ACM, vol. 38, no. 11, pp. 39-41, 1995.
16. F. Monay and D. Gatica-Perez, "On Image Auto-Annotation with Latent Space Models," in Proc. ACM Int. Conf. on Multimedia (ACM MM), November 2003.
17. J. Platt, "Probabilistic Outputs for support vector machines and comparison to regularized likelihood methods," in A. Smola, P. Bartlett, B. Schölkopf and D. Schurmans (eds.), Advances in Large Margin Classifiers, MIT Press, 1999.
18. P. Praks, J. Dvorsky and V. Snasel, "Latent Semantic Indexing for Image Retrieval Systems," in Proceedings of the SIAM Conference on Applied Linear Algebra (LA03), The College of William and Mary, Williamsburg, USA, 2003.
19. D. M. Squire, W. Müller, H. Müller and J. Raki, "Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback," in The 11th Scandinavian Conference on Image Analysis, Kangerlussuaq, Greenland, june 1999, pp. 143-149.
20. V. Tresp, "A Bayesian Committee Machine," Neural Computation, vol. 12, no. 11, pp. 2719-2741, 2000.
21. C. Wallace and D. Dowe, "Minimum Message Length and Kolmogorov complexity," Computer Journal, vol. 42, no. 4, pp. 270-283, 1999.
22. R. Zhao and W. Grosky, "From Features to Semantics: Some Preliminary Results," in IEEE International Conference on Multimedia and Expo (II), 2000, pp. 679-682.
23. R. Zhao and W. Grosky, "Narrowing the semantic gap - Improved text-based document web document retrieval using visual features," IEEE Trans. on Multimedia, vol. 4, no. 2, pp. 189-200, 2002.