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» A Graph Based Data Model for Graphics Interpretation
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ICASSP
2009
IEEE
13 years 10 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
CSDA
2010
118views more  CSDA 2010»
13 years 6 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
GREC
2003
Springer
13 years 12 months ago
Model-Based Chart Image Recognition
In this paper, we introduce a system that aims at recognizing chart images using a model-based approach. First of all, basic chart models are designed for four different chart typ...
Weihua Huang, Chew Lim Tan, Wee Kheng Leow
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
13 years 11 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
GD
2009
Springer
13 years 11 months ago
WiGis: A Framework for Scalable Web-Based Interactive Graph Visualizations
Traditional network visualization tools inherently suffer from scalability problems, particularly when such tools are interactive and web-based. In this paper we introduce WiGis ...
Brynjar Gretarsson, Svetlin Bostandjiev, John O'Do...