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TIP
2008
133views more  TIP 2008»
15 years 2 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
149
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UAI
2003
15 years 4 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
150
Voted
ECAI
2010
Springer
15 years 19 days ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
131
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ESORICS
1998
Springer
15 years 6 months ago
Rules for Designing Multilevel Object-Oriented Databases
When implementing a multilevel security policy for Object-Oriented Databases (OODBs), several aspects have to be investigated. One of these aspect is the design of multilevel OODB...
Frédéric Cuppens, Alban Gabillon
270
Voted
ICCV
2011
IEEE
14 years 2 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic