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Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions

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In this article, we give an overview of efficient algorithms for the approximate and exact nearest neighbor problem. The goal is to preprocess a dataset of objects (e.g., images) so that later, given a new query object, one can quickly return the dataset object that is most similar to the query. The problem is of significant interest in a wide variety of areas.

View this article in the ACM Digital Library.

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