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ACSC
2006
IEEE
14 years 1 months ago
Improvements of TLAESA nearest neighbour search algorithm and extension to approximation search
Nearest neighbour (NN) searches and k nearest neighbour (k-NN) searches are widely used in pattern recognition and image retrieval. An NN (k-NN) search finds the closest object (...
Ken Tokoro, Kazuaki Yamaguchi, Sumio Masuda
DEXA
2003
Springer
193views Database» more  DEXA 2003»
14 years 29 days ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
Christian Böhm, Florian Krebs
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
14 years 20 days ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
CIVR
2008
Springer
204views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Image clustering based on a shared nearest neighbors approach for tagged collections
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
Pierre-Alain Moëllic, Jean-Emmanuel Haugeard,...
JCIT
2010
148views more  JCIT 2010»
13 years 2 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...