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MCS
2007
Springer
13 years 11 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
AVBPA
2003
Springer
140views Biometrics» more  AVBPA 2003»
13 years 10 months ago
Combining SVM Classifiers for Multiclass Problem: Its Application to Face Recognition
Abstract. In face recognition, a simple classifier such as NNk − is frequently used. For a robust system, it is common to construct the multiclass classifier by combining the out...
Jaepil Ko, Hyeran Byun
CVPR
2005
IEEE
13 years 10 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
ICNC
2005
Springer
13 years 10 months ago
Multi-view Face Recognition with Min-Max Modular SVMs
Abstract. Through task decomposition and module combination, minmax modular support vector machines (M3 -SVMs) can be successfully used for difficult pattern classification task. ...
Zhi-Gang Fan, Bao-Liang Lu
ICCV
2007
IEEE
13 years 11 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu