598 search results - page 75 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
105
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IPMI
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
CONTEXT
2001
Springer
15 years 2 months ago
2001
Springer
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
VR
2009
IEEE
15 years 4 months ago
2009
IEEE
Due to the intrinsic subtlety and dynamics of eye movements, automated generation of natural and engaging eye motion has been a challenging task for decades. In this paper we pres...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
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NIPS
2008
14 years 11 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...