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» Kernels for Global Constraints
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TSP
2010
13 years 4 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
CVPR
2009
IEEE
15 years 5 months ago
Recognizing Linked Events: Searching the Space of Feasible Explanations
The ambiguity inherent in a localized analysis of events from video can be resolved by exploiting constraints between events and examining only feasible global explanations. We sho...
Dima Damen (University of Leeds), David Hogg (Univ...
CVPR
2009
IEEE
15 years 4 months ago
A Convex Relaxation Approach for Computing Minimal Partitions
In this work we propose a convex relaxation approach for computing minimal partitions. Our approach is based on rewriting the minimal partition problem (also known as Potts mode...
Thomas Pock (Graz University of Technology), Anton...
CVPR
2006
IEEE
14 years 11 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
ICCV
2007
IEEE
14 years 11 months ago
Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
We formulate multi-view 3D shape reconstruction as the computation of a minimum cut on the dual graph of a semiregular, multi-resolution, tetrahedral mesh. Our method does not ass...
Sudipta N. Sinha, Philippos Mordohai, Marc Pollefe...