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148
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ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
15 years 7 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
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
15 years 6 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
140
Voted
AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
15 years 7 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs
98
Voted
AMFG
2003
IEEE
102views Biometrics» more  AMFG 2003»
15 years 6 months ago
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
120
Voted
ICPR
2010
IEEE
15 years 27 days ago
Decision Fusion for Patch-Based Face Recognition
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
Berkay Topcu, Hakan Erdogan