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» A random graph approach to NMR sequential assignment
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TSP
2011
197views more  TSP 2011»
12 years 11 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
ECCV
2010
Springer
13 years 9 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
ITC
1999
IEEE
107views Hardware» more  ITC 1999»
13 years 8 months ago
A high-level BIST synthesis method based on a region-wise heuristic for an integer linear programming
A high-level built-in self-test (BIST) synthesis involves several tasks such as system register assignment, interconnection assignment, and BIST register assignment. Existing high...
Han Bin Kim, Dong Sam Ha
CORR
2010
Springer
177views Education» more  CORR 2010»
13 years 4 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
VMV
2008
165views Visualization» more  VMV 2008»
13 years 5 months ago
Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps
This work presents a real-time, data-parallel approach for global label assignment on regular grids. The labels are selected according to a Markov random field energy with a Potts...
Christopher Zach, David Gallup, Jan-Michael Frahm,...