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141
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CVPR
2004
IEEE
16 years 5 months ago
Graphical Models for Graph Matching
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler mo...
Dante Augusto Couto Barone, Terry Caelli, Tib&eacu...
123
Voted
ICIP
1998
IEEE
16 years 4 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
ICPR
2008
IEEE
15 years 9 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
ICPP
1995
IEEE
15 years 7 months ago
Sorting and Selection on Distributed Memory Bus Computers
In this paper we study the problems of sorting and selection on the Distributed Memory Bus Computer (DMBC) recently introduced by Sahni. In particular we present: 1) An efficient a...
Sanguthevar Rajasekaran, Sartaj Sahni
IJON
2007
79views more  IJON 2007»
15 years 3 months ago
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two co
An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protoc...
Claudia Clopath, Renaud Jolivet, Alexander Rauch, ...