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» A Support Vector Clustering Method
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120
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ICPR
2008
IEEE
16 years 5 months ago
Efficient implementation of SVM for large class problems
Multiclass classification is an important problem in pattern recognition. Hierarchical SVM classifiers such as DAG-SVM and BHC-SVM are popular in solving multiclass problems. Howe...
Prabakaran Ilayaraja, N. V. Neeba, C. V. Jawahar
125
Voted
ICML
2003
IEEE
16 years 4 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
132
Voted
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
16 years 4 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
CHI
2006
ACM
16 years 4 months ago
Estimating human interruptibility in the home for remote communication
This paper presents a method for automatically estimating human interruptibility in home environments. To make online remote communication smoother, determining if it is appropria...
Yoshinao Takemae, Takehiko Ohno, Ikuo Yoda, Shinji...
128
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GBRPR
2009
Springer
15 years 10 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun