890 search results - page 72 / 178 » Learning a Generative Model for Structural Representations |
145
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IEEEICCI
2009
IEEE
15 years 1 days ago
2009
IEEE
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
198
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ACCV
2010
Springer
15 years 3 months ago
2010
Springer
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
157
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CVPR
2012
IEEE
13 years 4 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...
104
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CAV
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. We propose a purely implicit solution to the contextual assumption generation problem in assume-guarantee reasoning. Instead of improving the L∗ algorithm — a learnin...
103
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...