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Locality-sensitive hashing

Known as: LSH, Locality Sensitive Hashing 
Locality-sensitive hashing (LSH) reduces the dimensionality of high-dimensional data. LSH hashes input items so that similar items map to the same… 
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Papers overview

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2017
2017
In this paper, we examine the hash functions expressed as scalar products, i.e., $f(x)= $, for some bounded random vector $v… 
2015
2015
In this paper, we present a hierarchical clustering algorithm of the large text datasets using Locality-Sensitive Hashing (LSH… 
2014
2014
In a biometric recognition task, the manifold of data is the result of the interactions between the sub-manifold of dynamic… 
2013
2013
Locality Sensitive Hashing (LSH) has been popularly used in content-based search systems. There exist two main categories of LSH… 
2012
2012
Nearest neighbor problem has recently been a research focus, especially on large amounts of data. Locality sensitive hashing (LSH… 
2012
2012
Locality sensitive hashing (LSH) has been introduced as an indexing structure for fast large-scale data retrieval. A significant… 
Review
2012
Review
2012
When the volume of data grows big, some simple tasks could become a significant concern. Nearest neighbor search is such a task… 
2011
2011
Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector… 
2010
2010
In this paper, we study the problem of detecting near duplicates for high dimensional data points in an incremental manner. For… 
2008
2008
This paper investigates suitable indexing techniques to enable efficient content-based audio retrieval in large acoustic…