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» Approximate algorithms for neural-Bayesian approaches
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CSL
2010
Springer
14 years 9 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
CAD
2007
Springer
14 years 9 months ago
Direct extraction of surface meshes from implicitly represented heterogeneous volumes
This paper describes a novel algorithm to extract surface meshes directly from implicitly represented heterogeneous models made of different constituent materials. Our approach ca...
Charlie C. L. Wang
SIGGRAPH
1995
ACM
15 years 1 months ago
Multiresolution analysis of arbitrary meshes
In computer graphics and geometric modeling, shapes are often represented by triangular meshes. With the advent of laser scanning systems, meshes of extreme complexity are rapidly...
Matthias Eck, Tony DeRose, Tom Duchamp, Hugues Hop...

Book
778views
16 years 8 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...