62 search results - page 5 / 13 » Variational Bayes Based Approach to Robust Subspace Learning |
87
Voted
ICRA
2000
IEEE
15 years 4 months ago
2000
IEEE
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
146
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AADA
2011
13 years 11 months ago
2011
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
CORR
2002
Springer
14 years 11 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
132
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
The variations of pose lead to significant performance
decline in face recognition systems, which is a bottleneck
in face recognition. A key problem is how to measure the
simila...
104
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FGR
2008
IEEE
15 years 6 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...