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» L0 sparse graphical modeling
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CVPR
2008
IEEE
16 years 2 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
ARCS
2005
Springer
15 years 6 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
121
Voted
CGF
2008
173views more  CGF 2008»
15 years 28 days ago
A Local/Global Approach to Mesh Parameterization
We present a novel approach to parameterize a mesh with disk topology to the plane in a shape-preserving manner. Our key contribution is a local/global algorithm, which combines a...
Ligang Liu, Lei Zhang, Yin Xu, Craig Gotsman, Stev...
119
Voted
TOMS
1998
148views more  TOMS 1998»
15 years 14 days ago
PELLPACK: A Problem-Solving Environment for PDE-Based Applications on Multicomputer Platforms
This paper presents the software architecture and implementation of the problem solving environment (PSE) PELLPACK for modeling physical objects described by partial differential ...
Elias N. Houstis, John R. Rice, Sanjiva Weerawaran...
89
Voted
EUROGRAPHICS
2010
Eurographics
15 years 10 months ago
Electors Voting for Fast Automatic Shape Correspondence
This paper challenges the difficult problem of automatic semantic correspondence between two given shapes which are semantically similar but possibly geometrically very different...
Oscar Kin-Chung Au, Chiew-Lan Tai, Daniel Cohen-Or...