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» Fast Similarity Search for High-Dimensional Dataset
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ISM
2006
IEEE
174views Multimedia» more  ISM 2006»
13 years 10 months ago
Fast Similarity Search for High-Dimensional Dataset
This paper addresses the challenging problem of rapidly searching and matching high-dimensional features for the applications of multimedia database retrieval and pattern recognit...
Quan Wang, Suya You
DEXA
2006
Springer
190views Database» more  DEXA 2006»
13 years 8 months ago
High-Dimensional Similarity Search Using Data-Sensitive Space Partitioning
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...
Sachin Kulkarni, Ratko Orlandic
ICDE
1997
IEEE
130views Database» more  ICDE 1997»
14 years 5 months ago
High-Dimensional Similarity Joins
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal
ICDE
1998
IEEE
163views Database» more  ICDE 1998»
14 years 5 months ago
Fast Nearest Neighbor Search in High-Dimensional Space
Similarity search in multimedia databases requires an efficient support of nearest-neighbor search on a large set of high-dimensional points as a basic operation for query process...
Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, H...
WEBI
2009
Springer
13 years 11 months ago
Fast Matching for All Pairs Similarity Search
All pairs similarity search is the problem of finding all pairs of records that have a similarity score above the specified threshold. Many real-world systems like search engine...
Amit C. Awekar, Nagiza F. Samatova