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Locality sensitive hashing (LSH) has been introduced as an indexing structure for fast large-scale data retrieval. A significant drawback of this technique is that a large number of hash functions require lots of hash computation time. To resolve this issue, the paper presents a new index construction algorithm called boundary-expanding LSH, where the boundary of each bucket is expanded so that each...
Nearest neighbor problem has recently been a research focus, especially on large amounts of data. Locality sensitive hashing (LSH) scheme based on p-stable distributions is a good solution to the approximate nearest neighbor (ANN) problem, but points are always mapped to a poor distribution. This paper proposes a set of new hash mapping functions based on entropy for LSH. Using our new hash functions...
In order to improve the performance of Chinese text categorization, a new Chinese text categorization method based on angle distribution is presented. The new method describes the text with a more precise model and proposed a new categorization algorithm by employing angle distribution. Simulation results on open Chinese text collection show that the precision and recall of most classes have been...
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