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ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 5 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
WABI
2009
Springer
102views Bioinformatics» more  WABI 2009»
15 years 4 months ago
A Tree Based Method for the Rapid Screening of Chemical Fingerprints
Background: The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fin...
Thomas G. Kristensen, Jesper Nielsen, Christian N....
MR
2007
92views Robotics» more  MR 2007»
14 years 9 months ago
Feature extraction and damage-precursors for prognostication of lead-free electronics
Damage pre-cursors based health management and prognostication methodology has been presented for electronic systems in harsh environments. The framework has been developed based ...
Pradeep Lall, Madhura Hande, Chandan Bhat, Nokibul...
CGF
1999
159views more  CGF 1999»
14 years 9 months ago
Fast Polyhedral Cell Sorting for Interactive Rendering of Unstructured Grids
Direct volume rendering based on projective methods works by projecting, in visibility order, the polyhedral cells of a mesh onto the image plane, and incrementally compositing th...
João Comba, James T. Klosowski, Nelson L. M...