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» How to Train a Classifier Based on the Huge Face Database?
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AMFG
2005
IEEE
293views Biometrics» more  AMFG 2005»
9 years 4 months ago
How to Train a Classifier Based on the Huge Face Database?
The development of web and digital camera nowadays has made it easier to collect more than hundreds of thousands of examples. How to train a face detector based on the collected en...
Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan...
AVBPA
2005
Springer
294views Biometrics» more  AVBPA 2005»
9 years 4 months ago
Face Detection Based on the Manifold
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. It is a piece of cake to collect more than hundre...
Ruiping Wang, Jie Chen, Shengye Yan, Wen Gao
CVPR
2003
IEEE
10 years 1 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
ECCV
2006
Springer
9 years 1 months ago
Robust Face Alignment Based on Hierarchical Classifier Network
Abstract. Robust face alignment is crucial for many face processing applications. As face detection only gives a rough estimation of face region, one important problem is how to al...
Li Zhang, Haizhou Ai, Shihong Lao
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
9 years 4 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
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