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SADM
2008
106views more  SADM 2008»
13 years 11 months ago
Harmonium Models for Video Classification
: Accurate and efficient video classification demands the fusion of multimodal information and the use of intermediate representations. Combining the two ideas into one framework, ...
Jun Yang 0003, Rong Yan, Yan Liu, Eric P. Xing
TSP
2008
179views more  TSP 2008»
13 years 11 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
JAIR
2007
120views more  JAIR 2007»
13 years 11 months ago
An Algebraic Graphical Model for Decision with Uncertainties, Feasibilities, and Utilities
Numerous formalisms and dedicated algorithms have been designed in the last decades to model and solve decision making problems. Some formalisms, such as constraint networks, can ...
Cédric Pralet, Gérard Verfaillie, Th...
TCBB
2008
126views more  TCBB 2008»
13 years 11 months ago
Graphical Models of Residue Coupling in Protein Families
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
JMLR
2006
125views more  JMLR 2006»
13 years 11 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
JCB
2006
215views more  JCB 2006»
13 years 11 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
JMLR
2008
135views more  JMLR 2008»
13 years 11 months ago
Complete Identification Methods for the Causal Hierarchy
We consider a hierarchy of queries about causal relationships in graphical models, where each level in the hierarchy requires more detailed information than the one below. The hie...
Ilya Shpitser, Judea Pearl
CORR
2006
Springer
104views Education» more  CORR 2006»
13 years 11 months ago
Loop corrections for approximate inference
We propose a method to improve approximate inference methods by correcting for the influence of loops in the graphical model. The method is a generalization and alternative implem...
Joris M. Mooij, Bert Kappen
FTML
2008
185views more  FTML 2008»
13 years 11 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
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 11 months ago
Stabilizer Quantum Codes: A Unified View based on Forney-style Factor Graphs
Quantum error-correction codes (QECCs) are a vital ingredient of quantum computation and communication systems. In that context it is highly desirable to design QECCs that can be r...
Pascal O. Vontobel