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76
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TIP
2008
133views more  TIP 2008»
14 years 9 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
EMSOFT
2010
Springer
14 years 7 months ago
From high-level component-based models to distributed implementations
Constructing correct distributed systems from their high-level models has always been a challenge and often subject to serious errors because of their non-deterministic and non-at...
Borzoo Bonakdarpour, Marius Bozga, Mohamad Jaber, ...
101
Voted
CVPR
2009
IEEE
16 years 4 months ago
Contextual Classification with Functional Max-Margin Markov Networks
We address the problem of label assignment in computer vision: given a novel 3-D or 2-D scene, we wish to assign a unique label to every site (voxel, pixel, superpixel, etc.). To...
Daniel Munoz, James A. Bagnell, Martial Hebert, Ni...
CVPR
2007
IEEE
15 years 11 months ago
Image representations beyond histograms of gradients: The role of Gestalt descriptors
Histograms of orientations and the statistics derived from them have proven to be effective image representations for various recognition tasks. In this work we attempt to improve...
Stanley M. Bileschi, Lior Wolf
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
15 years 11 months ago
Query Planning with Limited Source Capabilities
In information-integration systems, sources may have diverse and limited query capabilities. In this paper we show that because sources have restrictions on retrieving their infor...
Chen Li, Edward Y. Chang