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FTML
2008
185views more  FTML 2008»
13 years 8 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
JMIV
2007
94views more  JMIV 2007»
13 years 7 months ago
A Variational Model for Capturing Illusory Contours Using Curvature
Illusorycontours,suchastheclassicalKanizsatriangleandsquare[9],areintrinsicphenomenainhuman vision. These contours are not completely defined by real object boundaries, but also i...
Wei Zhu, Tony F. Chan
PSB
2004
13 years 9 months ago
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
Xinghua Lu, Milos Hauskrecht, Roger S. Day
PAMI
2006
143views more  PAMI 2006»
13 years 7 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
ASE
2011
13 years 2 months ago
Compositional model checking of software product lines using variation point obligations
This paper introduces a technique for incremental and compositional model checking that allows efficient reuse of model-checking results associated with the features in a product l...
Jing Liu, Samik Basu, Robyn R. Lutz