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by Piotr Indyk, Rajeev Motwani, Prabhakar Raghavan, Santosh Vempala
In Proceedings of the 29th ACM Symposium on Theory of Computing
http://theory.stanford.edu/~rajeev/postscripts/hashing.ps.gz
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Abstract:
We consider locality-preserving hashing--- in which adjacent points in the domain are mapped to adjacent or nearlyadjacent points in the range--- when the domain is a d-dimensional cube. This problem has applications to highdimensional search and multimedia indexing. We show that simple and natural classes of hash functions are provably good for this problem. We complement this with lower bounds suggesting that our results are essentially the best possible. 1
Citations
|
2961
|
Pattern Classification and Scene Analysis
– Duda, Hart
- 1973
|
|
1460
|
Indexing by latent semantic analysis
– Deerwester, Dumais, et al.
- 1990
|
|
1446
|
The Art of Computer Programming
– Knuth
- 1973
|
|
1097
|
Vector Quantization and Signal Compression
– Gersho, Gray
- 1992
|
|
1014
|
The Design and Analysis of Spatial Data Structures
– Samet
- 1989
|
|
562
|
Automatic Text Processing
– Salton
- 1989
|
|
533
|
Nearest neighbor pattern classification
– Cover, Hart
- 1967
|
|
442
|
ªAn Optimal Algorithm for Approximate Nearest Neighbor Searching
– Arya, Mount, et al.
- 1994
|
|
376
|
Efficient and effective querying by image content
– Faloutsos, Barber, et al.
- 1994
|
|
353
|
Photobook: Tools for Content-Based Manipulation of Image Databases
– Pentland, Picard, et al.
|
|
242
|
A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
– Cost, Scott, et al.
- 1993
|
|
221
|
Analysis of a complex of statistical variables into principal components
– Hotelling
- 1933
|
|
169
|
Discriminant adaptive nearest neighbor classification. ftp://playfair.Stanford.EDU/pub/hastie/dann.ps.Z
– Hastie, Tibshirani
- 1994
|
|
142
|
Ray shooting and parametric search
– Agarwal, Matouˇsek
- 1993
|
|
134
|
Two algorithms for nearest-neighbor search in high dimensions
– KLEINBERG
- 1997
|
|
115
|
New retrieval approaches using SMART: TREC 4
– Buckley, Singhal, et al.
- 1996
|
|
97
|
A randomized algorithm for the closest-point queries
– Clarkson
- 1988
|
|
90
|
Introductory Functional Analysis with Applications
– Kreyszig
- 1978
|
|
80
|
Reporting points in halfspaces
– Matousek
- 1992
|
|
77
|
Multidimensional Searching Problems
– Dobkin, Lipton
- 1976
|
|
59
|
A general approach to D-dimensional geometric queries
– Yao, Yao
- 1985
|
|
47
|
Point location in arrangements of hyperplanes
– Meiser
- 1993
|
|
38
|
Randomized, multidimensional search trees: dynamic sampling
– Mulmuley
- 1991
|
|
26
|
Non-expansive hashing
– Linial, Sasson
- 1998
|
|
21
|
Nearest neighbor methods in discrimination
– Devroye, Wagner
- 1982
|
|
9
|
Uber lineare Methoden in der
– Karhunen
- 1947
|
|
7
|
Nearest neighbor filters for multivariate data
– Koivune, Kassam
- 1995
|
|
4
|
Fonctions aleastoires de second ordere. Processus Stochastiques et mouvement Brownian
– Lo'eve
- 1948
|