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155
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IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
15 years 9 months 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...
124
Voted
AUSAI
2005
Springer
15 years 9 months ago
Resampling LDA/QR and PCA+LDA for Face Recognition
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
Jun Liu, Songcan Chen
119
Voted
JMM2
2007
127views more  JMM2 2007»
15 years 3 months ago
Robust Face Recognition through Local Graph Matching
— A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometr...
Ehsan Fazl Ersi, John S. Zelek, John K. Tsotsos
94
Voted
ICDAR
2007
IEEE
15 years 9 months ago
Finger-Written Chinese Characters Recognition Using Hierarchical LDA
In our camera based user interface, user inputs Chinese characters by moving fingertip with his/her fingers. Therefore, we call those characters “finger– written Chinese chara...
D. Yang, L. Jin, L.-X. Zhen, J.-C. Huang
149
Voted
JCP
2008
167views more  JCP 2008»
15 years 3 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao