113 search results - page 11 / 23 » Lifted Probabilistic Inference for Asymmetric Graphical Mode... |
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
111
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ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
SCVMA
2004
Springer
15 years 3 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
104
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AAAI
2012
13 years 29 days ago
2012
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...