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ICDAR
2005
IEEE
14 years 1 months ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent
IDEAL
2005
Springer
14 years 1 months ago
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
Ivana Bozic, Guanglan Zhang, Vladimir Brusic
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
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...
FGR
2008
IEEE
240views Biometrics» more  FGR 2008»
14 years 2 months ago
Face recognition and alignment using support vector machines
Face recognition in the presence of pose changes remains a largely unsolved problem. Severe pose changes, resulting in dramatically different appearances, is one of the main difï¬...
Antony Lam, Christian R. Shelton