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SISAP
2008
IEEE
188views Data Mining» more  SISAP 2008»
15 years 4 months ago
High-Dimensional Similarity Retrieval Using Dimensional Choice
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Dave Tahmoush, Hanan Samet
DEXA
2006
Springer
126views Database» more  DEXA 2006»
14 years 11 months ago
Hypersphere Indexer
Indexing high-dimensional data for efficient nearest-neighbor searches poses interesting research challenges. It is well known that when data dimension is high, the search time can...
Navneet Panda, Edward Y. Chang, Arun Qamra
PCM
2001
Springer
183views Multimedia» more  PCM 2001»
15 years 2 months ago
An Adaptive Index Structure for High-Dimensional Similarity Search
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
Peng Wu, B. S. Manjunath, Shivkumar Chandrasekaran
RECOMB
2002
Springer
15 years 10 months ago
Provably sensitive Indexing strategies for biosequence similarity search
The field of algorithms for pairwisc biosequence similarity search is dominated by heuristic methods of high efficiency but uncertain sensitivity. One reason that more formal stri...
Jeremy Buhler
175
Voted
SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
15 years 10 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis