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» Face Recognition Based on Discriminative Manifold Learning
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ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
15 years 4 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
EXPERT
2010
145views more  EXPERT 2010»
14 years 7 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
CVPR
2012
IEEE
13 years 3 days ago
Pose pooling kernels for sub-category recognition
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
Ning Zhang, Ryan Farrell, Trevor Darrell
CVPR
2004
IEEE
15 years 11 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman
IJCV
2006
124views more  IJCV 2006»
14 years 9 months ago
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
Understanding facial expressions in image sequences is an easy task for humans. Some of us are capable of lipreading by interpreting the motion of the mouth. Automatic lipreading b...
Michal Aharon, Ron Kimmel