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Iterative Quantization: A Procrustean Approach to Learning Binary Codes Yunchao Gong and Svetlana Lazebnik Department of Computer Science, University of North Carolina at Chapel Hill CVPR 2011 Abstract: This paper addresses the problem of learning similarity preserving binary codes for efficient similarity search in large-scale image collections. We propose a simple and efficient alternating mi

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Iterative Quantization: A Procrustean Approach to Learning Binary Codes