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Neural Information Processing Systems

For`, we construct the systems of hyperrectangles by4 first precomputing anapproximate k-NN distance estimate using Ball Trees foreachdata point, andthen clustering5 the top-q densest data points intoT partitions using the k-means algorithm, where we binary search for the optimal6 parameterq.






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Neural Information Processing Systems

For example, in image object recognition and language models building[4,5,6,7,8,9], the number of classes scales as the number of possible objects or the dictionary size respectively.