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EDBT
2009
ACM
184views Database» more  EDBT 2009»
15 years 4 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
DAWAK
2001
Springer
15 years 2 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
JIIS
2002
141views more  JIIS 2002»
14 years 9 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
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IJCSA
2006
129views more  IJCSA 2006»
14 years 9 months ago
The SH-Tree: A Novel and Flexible Super Hybrid Index Structure for Similarity Search on Multidimensional Data
Approaches to indexing and searching feature vectors are an indispensable factor to support similarity search effectively and efficiently. Such feature vectors extracted from real...
Tran Khanh Dang
WEBI
2009
Springer
15 years 4 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