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» Learning the Face Space - Representation and Recognition
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FGR
2004
IEEE
118views Biometrics» more  FGR 2004»
15 years 1 months ago
Components for Face Recognition
We present a method for automatically learning a set of discriminatory facial components for face recognition. The algorithm performs an iterative growing of components starting w...
Bernd Heisele, Takamasa Koshizen
NIPS
2000
14 years 11 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
ICPR
2004
IEEE
15 years 11 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 1 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
FGR
2000
IEEE
137views Biometrics» more  FGR 2000»
15 years 2 months ago
Face Recognition in a Meeting Room
In this paper, we investigate recognition of human faces in a meeting room. The major challenges of identifying human faces in this environment include low quality of input images...
Ralph Gross, Jie Yang, Alex Waibel