8970 search results - page 398 / 1794 » Learning to Learn Causal Models |
211
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ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
243
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ICANN
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
276
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ALDT
2011
Springer
14 years 6 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
214
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
We cast the problem of recognizing related categories as a unified learning and structured prediction problem with shared body plans. When provided with detailed annotations of o...
200
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...