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NIPS
1998
13 years 9 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
IJON
2006
119views more  IJON 2006»
13 years 7 months ago
Support vector machine for functional data classification
Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...
Fabrice Rossi, Nathalie Villa
PR
2006
209views more  PR 2006»
13 years 7 months ago
Low resolution face recognition based on support vector data description
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD,...
Sang-Woong Lee, Jooyoung Park, Seong-Whan Lee
TNN
2008
142views more  TNN 2008»
13 years 7 months ago
Multiclass Posterior Probability Support Vector Machines
Abstract--Tao et al. have recently proposed the posterior probability support vector machine (PPSVM) which uses soft labels derived from estimated posterior probabilities to be mor...
Mehmet Gönen, Ayse Gönül Tanugur, E...
CIKM
2009
Springer
14 years 2 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua