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STOC
2002
ACM
177views Algorithms» more  STOC 2002»
14 years 5 months ago
Similarity estimation techniques from rounding algorithms
A locality sensitive hashing scheme is a distribution on a family F of hash functions operating on a collection of objects, such that for two objects x, y, PrhF [h(x) = h(y)] = si...
Moses Charikar
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 5 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
CORR
2011
Springer
186views Education» more  CORR 2011»
13 years 11 days ago
Similarity Join Size Estimation using Locality Sensitive Hashing
Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
PODS
2008
ACM
211views Database» more  PODS 2008»
14 years 5 months ago
The power of two min-hashes for similarity search among hierarchical data objects
In this study we propose sketching algorithms for computing similarities between hierarchical data. Specifically, we look at data objects that are represented using leaf-labeled t...
Sreenivas Gollapudi, Rina Panigrahy