Coaching the Exploration and Exploitation in Active Learning for Interactive Video Retrieval


Conventional active learning approaches for interactive video/image retrieval usually assume the query distribution is unknown, as it is difficult to estimate with only a limited number of labeled instances available. Thus, it is easy to put the system in a dilemma whether to explore the feature space in uncertain areas for a better understanding of the… (More)
DOI: 10.1109/TIP.2012.2222902


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