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FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
13 years 9 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre
SSPR
2004
Springer
13 years 10 months ago
Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
Kyoung Min Kim, Joong Jo Park, Young Gi Song, In-C...
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
13 years 10 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...
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
13 years 11 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
13 years 11 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli