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» Engineering of Computer Vision Algorithms Using Evolutionary...
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CVPR
2008
IEEE
16 years 6 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
139
Voted
CGI
2001
IEEE
15 years 7 months ago
Dynamic Refinement of Deformable Triangle Meshes for Rendering
We present a method to adaptively refine an irregular triangle mesh as it deforms in real-time. The method increases surface smoothness in regions of high deformation by splitting...
Kolja Kähler, Jörg Haber, Hans-Peter Sei...
136
Voted
TIP
2010
129views more  TIP 2010»
14 years 11 months ago
Image Segmentation by MAP-ML Estimations
Abstract--Image segmentation plays an important role in computer vision and image analysis. In this paper, image segmentation is formulated as a labeling problem under a probabilit...
Shifeng Chen, Liangliang Cao, Yueming Wang, Jianzh...
JACM
2006
99views more  JACM 2006»
15 years 4 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
POPL
2007
ACM
16 years 4 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic