Cross-Domain Learning for Semantic Concept Detection

  • Published 2011

Abstract

Automatic semantic concept detection has become increasingly important to effectively index and search the exploding amount of multimedia content, such as those from the Web and TV broadcasts. The large and growing amount of unlabeled data in comparison with the small amount of labeled training data limits the applicability of classifiers based upon… (More)

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Cite this paper

@inproceedings{2011CrossDomainLF, title={Cross-Domain Learning for Semantic Concept Detection}, author={}, year={2011} }