| Document Date: 2012-10-23 14:04:06
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City Asuncion / D. J / / Company Mitsubishi Electric Research Laboratories Inc. / Cambridge University Press / Computer Sciences / Mitsubishi Electric Research Labs / / Facility University Abstract / Carnegie Mellon University / University of California / / IndustryTerm real-world applications / greedy submodular optimization algorithm / greedy algorithms / proposed active learning algorithms / above greedy algorithm / active learning algorithm / near-optimal solutions / above approximation algorithms / greedy algorithm / Greedy farthest-first active selection algorithm / real-time processing / near-optimal solution / approximate near neighbor search / farthest first algorithms / greedy batch-mode active selection algorithm / approximate near-neighbor search / greedy near-optimal algorithms / robotics applications / search space / active learning algorithms / approximation algorithms / farthest-first heuristic algorithm / / Organization Cambridge University / Carnegie Mellon University / School of Information / University of California / Irvine / / Person Fatih Porikli / Ajay J. Joshi / / Position bayesian hierarchical model for learning natural scene categories / Fisher / / Product Cambridge / / ProvinceOrState Minnesota / California / Massachusetts / / PublishedMedium Theory of Computing / / Technology proposed active learning algorithms / B. Greedy algorithm / active learning algorithm / lasers / greedy submodular optimization algorithm / proposed algorithm / previous algorithms / active learning algorithms / above approximation algorithms / two greedy algorithms / greedy algorithm / approximation algorithms / modified algorithm / proposed algorithms / machine learning / active selection algorithm / above greedy algorithm / greedy batch-mode active selection algorithm / / URL http /
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Coverage Optimized Active Learning for k-NN Classifiers