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AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
13 years 11 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
ICIP
2002
IEEE
14 years 9 months ago
On the stability of support vector machines for face detection
Ioan Buciu, Constantine Kotropoulos, Ioannis Pitas
ICPR
2006
IEEE
14 years 8 months ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders
ICPR
2000
IEEE
14 years 8 months ago
Feature Selection for Support Vector Machines
Lothar Hermes, Joachim M. Buhmann