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106
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CVPR
2009
IEEE
16 years 6 months ago
Nonrigid Shape Recovery by Gaussian Process Regression
Most state-of-the-art nonrigid shape recovery methods usually use explicit deformable mesh models to regularize surface deformation and constrain the search space. These triangu...
Jianke Zhu, Michael R. Lyu, Steven C. H. Hoi
101
Voted
WSCG
2003
177views more  WSCG 2003»
15 years 8 days ago
Efficient NURBS Rendering using View-Dependent LOD and Normal Maps
Rendering large trimmed NURBS models with high quality at interactive frame rates is of great interest for industry, since nearly all their models are designed on the basis of thi...
Michael Guthe, Reinhard Klein
79
Voted
UAI
1990
15 years 3 days ago
Problem formulation as the reduction of a decision model
In this paper, we extend the QMR-DT probabilistic model for the domain of internal medicine to include decisions about treatments. In addition, we describe how we can use the comp...
David Heckerman, Eric Horvitz
DELTA
2010
IEEE
15 years 4 months ago
A More Precise Model of Noise Based PCMOS Errors
—In this paper we present a new model for characterization of probabilistic gates. While still not mainstream, probabilistic CMOS has the potential to dramatically reduce energy ...
Arun Bhanu, Mark S. K. Lau, Keck Voon Ling, Vincen...