1403 search results - page 171 / 281 » Sampling Techniques for Kernel Methods |
CCE
2006
14 years 10 months ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
124
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SI3D
2012
ACM
13 years 5 months ago
2012
ACM
In this paper we present decoupled deferred shading: a rendering technique based on a new data structure called compact geometry buffer, which stores shading samples independently...
RECOMB
2007
Springer
15 years 10 months ago
2007
Springer
The study of biological networks and network motifs can yield significant new insights into systems biology. Previous methods of discovering network motifs ? network-centric subgra...
145
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
ECCV
2002
Springer
15 years 12 months ago
2002
Springer
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...