1018 search results - page 126 / 204 » Learning Probabilistic Models of Contours |
105
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ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
BMCBI
2006
14 years 10 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
SAT
2005
Springer
15 years 3 months ago
2005
Springer
An important extension of satisfiability testing is model-counting, a task that corresponds to problems such as probabilistic reasoning and computing the permanent of a Boolean ma...
NIPS
2008
14 years 11 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
104
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ML
2006
ACM
14 years 10 months ago
2006
ACM
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...