97 search results - page 13 / 20 » A probabilistic language based on sampling functions |
150
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ICDAR
2007
IEEE
15 years 10 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
159
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CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
148
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ICDE
2010
IEEE
15 years 4 months ago
2010
IEEE
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
214
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JMLR
2012
13 years 6 months ago
2012
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
165
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COMPGEOM
2009
ACM
15 years 10 months ago
2009
ACM
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...