Generative, discriminative, and ensemble learning on multi-modal perceptual fusion toward news video story segmentation

2004 IEEE International Conference on Multimedia and Expo (ICME)

Volumn 2, Issue , 2004, Pages 1091-1094

  Hsu, Winston H M ^a   Chang, Shih Fu ^a  

^a Columbia University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC VIDEO INDEXING; ENSEMBLE LEARNING; MAXIMUM ENTROPY (ME); SUMMARIZATION; SUPPORT VECTOR MACHINE (SVM);

ALGORITHMS; ENTROPY; FEATURE EXTRACTION; FOOTAGE COUNTERS; LEARNING SYSTEMS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; VECTORS;

IMAGE SEGMENTATION;

EID: 11244288275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. D. Beeferman, A. Berger, and J. Lafferty, "Statistical models for text segmentation," Machine Learning, vol. 34, no. special issue on Natural Language Learning, pp. 177-210, 1999.
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4. Y. Freund and. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting," in European Conference on Computational Learning Theory, 1995.
5. R. E. Schapire and Y. Singer, "Improved boosting algorithms using confidence-rated predictions," Machine Learning, vol. 37, no. 3, 1999.
6. K. Tieu and P. Viola, "Boosting image retrieval," in IEEE Conference on Computer Vision and Pattern Recognition, 2000.