Confidence-based dynamic ensemble for image annotation and semantics discovery


Providing accurate and scalable solutions to map low-level perceptual features to high-level semantics is critical for multimedia information organization and retrieval. In this paper, we propose a confidence-based dynamic ensemble (CDE) to overcome the shortcomings of the traditional <i>static</i> classifiers. In contrast to the traditional models, CDE can… (More)
DOI: 10.1145/957013.957051


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@inproceedings{Li2003ConfidencebasedDE, title={Confidence-based dynamic ensemble for image annotation and semantics discovery}, author={Beitao Li and Kingshy Goh and Edward Y. Chang}, booktitle={ACM Multimedia}, year={2003} }