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Graphical model

Known as: Graphical Models, Probabilistic graphical model 
A graphical model or probabilistic graphical model (PGM) is a probabilistic model for which a graph expresses the conditional dependence structure… 
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Related topics

Related topics

44 relations
Ancestral graphArtificial neural networkAutoencoderBayesian network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by… 
Highly Cited
2008
Highly Cited
2008
Bi-Level Image Thresholding - A Fast Method
Abstract: Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding, most of… 
2007
2007
CRF-driven Implicit Deformable Model
We present a topology independent solution for segmenting objects with texture patterns of any scale, using an implicit… 
2006
2006
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community… 
Highly Cited
2005
Highly Cited
2005
Enhanced Answer Type Inference from Questions using Sequential Models
Question classification is an important step in factual question answering (QA) and other dialog systems. Several attempts have… 
Highly Cited
2005
Highly Cited
2005
Model-driven semantic Web service composition
As the number of available Web services increases there is a growing demand to realise complex business processes by combining… 
Highly Cited
2002
Highly Cited
2002
Distributed diagnosis for large discrete event dynamic systems
Abstract This paper presents a framework to deal with large systems, which cannot be handled as a whole. We propose to model them… 
2000
2000
Data Mining and Official Statistics
Data mining is a new field at the frontiers of statistics and information technologies (database management, artificial… 
Review
1998
Review
1998
Bayesian Information Criterion for Censored Survival Models 1
We investigate the Bayesian Information Criterion (BIC) for variable selection in models for censored survival data. Kass and… 
Highly Cited
1993
Highly Cited
1993
Virtual Reality Systems
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