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» Graph-Theoretical Methods in Computer Vision
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108
Voted
ICPR
2010
IEEE
15 years 2 months ago
Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages
Abstract—This paper presents an approximate belief propagation algorithm that replaces outgoing messages from a node with the averaged outgoing message and propagates messages fr...
Koichi Ogawara
214
Voted
NA
2011
296views Computer Vision» more  NA 2011»
14 years 9 months ago
Rational approximation to the Fermi-Dirac function with applications in density functional theory
We are interested in computing the Fermi-Dirac matrix function in which the matrix argument is the Hamiltonian matrix arising from Density Function Theory (DFT) applications. More...
Roger B. Sidje, Yousef Saad
RT
2005
Springer
15 years 8 months ago
Table-top Computed Lighting for Practical Digital Photography
We apply simplified image-based lighting methods to reduce the equipment, cost, time, and specialized skills required for high-quality photographic lighting of desktop-sized stat...
Ankit Mohan, Jack Tumblin, Bobby Bodenheimer, Cind...
145
Voted
CVPR
2011
IEEE
14 years 10 months ago
Variable Grouping for Energy Minimization
This paper addresses the problem of efficiently solving large-scale energy minimization problems encountered in computer vision. We propose an energy-aware method for merging ran...
Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Cha...
144
Voted
CVPR
2011
IEEE
14 years 6 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...