1566 search results - page 183 / 314 » Planning and learning together |
192
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NLPRS
2001
Springer
15 years 11 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
212
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
226
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
170
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ICRA
2006
IEEE
16 years 17 days ago
2006
IEEE
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
188
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IPMI
2007
Springer
16 years 7 months ago
2007
Springer
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...