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» Improvement on PCA and 2DPCA Algorithms for Face Recognition
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IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
14 years 27 days ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
VLSISP
2002
139views more  VLSISP 2002»
13 years 7 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
CVPR
2006
IEEE
14 years 9 months ago
Learning Patch Dependencies for Improved Pose Mismatched Face Verification
Most pose robust face verification algorithms, which employ 2D appearance, rely heavily on statistics gathered from offline databases containing ample facial appearance variation ...
Simon Lucey, Tsuhan Chen
CVPR
2008
IEEE
14 years 9 months ago
Simultaneous super-resolution and feature extraction for recognition of low-resolution faces
Face recognition degrades when faces are of very low resolution since many details about the difference between one person and another can only be captured in images of sufficient...
Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. V...
IBPRIA
2011
Springer
12 years 11 months ago
The Fast and the Flexible: Extended Pseudo Two-Dimensional Warping for Face Recognition
Abstract. In this work, we propose a novel extension of pseudo 2D image warping (P2DW) which allows for joint alignment and recognition of non-rectified face images. P2DW allows f...
Leonid Pishchulin, Tobias Gass, Philippe Dreuw, He...