346 search results - page 20 / 70 » Learning by Propagability |
143
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ISNN
2010
Springer
15 years 10 days ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
148
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ACL
2011
14 years 5 months ago
2011
We describe a new approach to disambiguating semantic frames evoked by lexical predicates previously unseen in a lexicon or annotated data. Our approach makes use of large amounts...
125
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TIP
2008
15 years 1 months ago
2008
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
150
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CHI
2011
ACM
14 years 5 months ago
2011
ACM
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
111
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MLDM
2005
Springer
15 years 7 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...