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» Near Neighbor Search in Large Metric Spaces
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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
15 years 2 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
MIR
2006
ACM
162views Multimedia» more  MIR 2006»
15 years 3 months ago
Dynamic similarity search in multi-metric spaces
An important research issue in multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, mu...
Benjamin Bustos, Tomás Skopal
SIGMOD
2002
ACM
219views Database» more  SIGMOD 2002»
15 years 9 months ago
Efficient k-NN search on vertically decomposed data
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
ICCS
2007
Springer
15 years 3 months ago
Searching and Updating Metric Space Databases Using the Parallel EGNAT
Abstract. The Evolutionary Geometric Near-neighbor Access Tree (EGNAT) is a recently proposed data structure that is suitable for indexing large collections of complex objects. It ...
Mauricio Marín, Roberto Uribe, Ricardo J. B...
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
15 years 10 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou