62 search results - page 10 / 13 » Variational Bayes Based Approach to Robust Subspace Learning |
156
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COLT
2007
Springer
15 years 9 months ago
2007
Springer
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
161
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CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
142
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ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
118
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...