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DEXA
2003
Springer
193views Database» more  DEXA 2003»
13 years 11 months 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
PRL
2002
95views more  PRL 2002»
13 years 5 months ago
Dissimilarity representations allow for building good classifiers
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
Elzbieta Pekalska, Robert P. W. Duin
ICPR
2004
IEEE
14 years 7 months ago
Enhancements for Local Feature Based Image Classification
Using local features with nearest neighbor search and direct voting obtains excellent results for various image classification tasks. In this work we decompose the method into its...
Daniel Keysers, Hermann Ney, Roberto Paredes, Tobi...
ESWA
2008
131views more  ESWA 2008»
13 years 6 months ago
Classification of weld flaws with imbalanced class data
This paper presents research results of our investigation of the imbalanced data problem in the classification of different types of weld flaws, a multi-class classification probl...
T. Warren Liao
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
13 years 11 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su