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» Graphical inference for infovis
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117
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NIPS
2004
15 years 1 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
89
Voted
COGSCI
2010
134views more  COGSCI 2010»
15 years 18 days ago
A Model of Knower-Level Behavior in Number Concept Development
We develop and evaluate a model of behavior on the Give-N task, a commonly used measure of young children's number knowledge. Our model uses the knower-level theory of how ch...
Michael D. Lee, Barbara W. Sarnecka
108
Voted
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 17 days ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
104
Voted
BMVC
2010
14 years 10 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...
128
Voted
CVPR
2011
IEEE
14 years 4 months ago
Supervised Hypergraph Labeling
We address the problem of labeling individual datapoints given some knowledge about (small) subsets or groups of them. The knowledge we have for a group is the likelihood value fo...
Toufiq Parag, Ahmed Elgammal