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» Variational Bayes Based Approach to Robust Subspace Learning
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ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
13 years 12 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
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...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
AADA
2011
12 years 7 months ago
Sparse Template-Based variational Image Segmentation
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 ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Robust Feature Selection by Mutual Information Distributions
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...
Marco Zaffalon, Marcus Hutter
CVPR
2009
IEEE
15 years 2 months ago
Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences
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...
Annan Li (Chinese Academy of Sciences), Shiguang S...
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
14 years 2 months ago
Regularized active shape model for shape alignment
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, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li