Active learning techniques for user interactive systems: application to image retrieval
Résumé
Active learning methods have been consid- ered with an increasing interest for user inter- active systems. In this paper, we propose an efficient active learning scheme to deal with this particular context. An active boundary correction is proposed in order to deal with few training data. Experiments are carried out on the COREL photo database.
Domaines
Machine Learning [stat.ML]
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