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79
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FGR
2000
IEEE
122views Biometrics» more  FGR 2000»
15 years 4 months ago
Support Vector Regression and Classification Based Multi-View Face Detection and Recognition
Yongmin Li, Shaogang Gong, Heather M. Liddell
123
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CORR
2008
Springer
165views Education» more  CORR 2008»
15 years 15 days ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
108
Voted
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 5 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
120
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BMVC
2000
15 years 1 months ago
Recognising the Dynamics of Faces across Multiple Views
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
Yongmin Li, Shaogang Gong, Heather M. Liddell
137
Voted
KES
2000
Springer
15 years 4 months ago
Multi-view face detection using support vector machines and eigenspace modelling
An approach to multi-view face detection based on head pose estimation is presented in this paper. Support Vector Regression is employed to solve the problem of pose estimation. T...
Yongmin Li, Shaogang Gong, Jamie Sherrah, Heather ...