164 search results - page 7 / 33 » Flexible latent variable models for multi-task learning |
ICRA
2007
IEEE
15 years 3 months ago
2007
IEEE
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
121
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CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
103
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CVPR
2012
IEEE
13 years 12 hour ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
GRC
2010
IEEE
14 years 10 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
NIPS
2004
14 years 11 months ago
2004
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...