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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
We study data structures for storing a set of polygonal curves in R^d such that, given a query curve, we can efficiently retrieve… 
Highly Cited
2014
Highly Cited
2014
We present a new data structure for the c-approximate near neighbor problem (ANN) in the Euclidean space. For n points in Rd, our… 
Highly Cited
2012
Highly Cited
2012
Distributed frameworks are gaining increasingly widespread use in applications that process large amounts of data. One important… 
Highly Cited
2012
Highly Cited
2012
Sign-random-projection locality-sensitive hashing (SRP-LSH) is a probabilistic dimension reduction method which provides an… 
Highly Cited
2011
Highly Cited
2011
Locality-sensitive hashing (LSH) is a basic primitive in several large-scale data processing applications, including nearest… 
Highly Cited
2009
Highly Cited
2009
  • B. Kulis, K. Grauman
  • IEEE 12th International Conference on Computer…
  • 2009
  • Corpus ID: 7201154
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed… 
Highly Cited
2008
Highly Cited
2008
This lecture note describes a technique known as locality-sensitive hashing (LSH) that allows one to quickly find similar entries… 
Highly Cited
2008
Highly Cited
2008
1053-5888/08/$20.00©2008IEEE IEEE SIGNAL PROCESSING MAGAZINE [128] MARCH 2008 T he Internet has brought us a wealth of data, all… 
Highly Cited
2004
Highly Cited
2004
We present a novel Locality-Sensitive Hashing scheme for the Approximate Nearest Neighbor Problem under lp norm, based on p… 
Highly Cited
2003
Highly Cited
2003
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality…