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» Cuts in Bayesian graphical models
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JCB
2007
198views more  JCB 2007»
14 years 10 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
IDA
2005
Springer
15 years 4 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
AAAI
2012
13 years 1 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
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...
Ali Borji, Dicky N. Sihite, Laurent Itti
CGF
2011
14 years 2 months ago
Interactive Modeling of City Layouts using Layers of Procedural Content
In this paper, we present new solutions for the interactive modeling of city layouts that combine the power of procedural modeling with the flexibility of manual modeling. Proced...
Markus Lipp, Daniel Scherzer, Peter Wonka, Michael...
LREC
2010
190views Education» more  LREC 2010»
15 years 5 days ago
Applying a Dynamic Bayesian Network Framework to Transliteration Identification
Identification of transliterations is aimed at enriching multilingual lexicons and improving performance in various Natural Language Processing (NLP) applications including Cross ...
Peter Nabende