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Proceedings of the ninth ACM international conference on Multimedia - MULTIMEDIA '01
On-line learning or "relevance feedback" techniques for multimedia information retrieval have been explored from many different points of view: from early heuristic-based feature weighting schemes to recently proposed optimal learning algorithms, probabilistic/Bayesian learning algorithms, boosting techniques, discriminant-EM algorithm, support vector machine, and other kernel-based learning machines. Based on a careful examination of the problem and a detailed analysis of the existingdoi:10.1145/500160.500163 fatcat:w3ghiud5yzelxke43rqh6dvpni