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TIP
2008
133views more  TIP 2008»
13 years 8 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
IVC
2007
187views more  IVC 2007»
13 years 8 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
IVC
2007
99views more  IVC 2007»
13 years 8 months ago
On the Bayes fusion of visual features
We consider the problem of image classification when more than one visual feature is available. In such cases, Bayes fusion offers an attractive solution by combining the result...
Xiaojin Shi, Roberto Manduchi
BMCBI
2005
117views more  BMCBI 2005»
13 years 8 months ago
Graph-representation of oxidative folding pathways
Background: The process of oxidative folding combines the formation of native disulfide bond with conformational folding resulting in the native three-dimensional fold. Oxidative ...
Vilmos Ágoston, Masa Cemazar, Lászl&...
TIT
2008
140views more  TIT 2008»
13 years 8 months ago
A Resource Framework for Quantum Shannon Theory
Quantum Shannon theory is loosely defined as a collection of coding theorems, such as classical and quantum source compression, noisy channel coding theorems, entanglement distilla...
Igor Devetak, Aram Wettroth Harrow, Andreas J. Win...
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