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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 graph
Artificial neural network
Autoencoder
Bayesian network
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Bi-Level Image Thresholding - A Fast Method
A. Anjos
,
H. Shahbazkia
International Conference on Bio-inspired Systems…
2008
Corpus ID: 4166272
Abstract: Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding, most of…
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2007
2007
CRF-driven Implicit Deformable Model
G. Tsechpenakis
,
Dimitris N. Metaxas
IEEE Conference on Computer Vision and Pattern…
2007
Corpus ID: 16547950
We present a topology independent solution for segmenting objects with texture patterns of any scale, using an implicit…
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2006
2006
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
N. Jojic
,
J. Winn
,
Larry Zitnick
Computer Vision and Pattern Recognition
2006
Corpus ID: 1892947
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community…
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Highly Cited
2005
Highly Cited
2005
Enhanced Answer Type Inference from Questions using Sequential Models
Vijay Krishnan
,
Sujatha Das Gollapalli
,
Soumen Chakrabarti
Human Language Technology - The Baltic Perspectiv
2005
Corpus ID: 2798005
Question classification is an important step in factual question answering (QA) and other dialog systems. Several attempts have…
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Highly Cited
2005
Highly Cited
2005
Model-driven semantic Web service composition
Roy Grønmo
,
M. Jäger
Asia-Pacific Software Engineering Conference
2005
Corpus ID: 17077241
As the number of available Web services increases there is a growing demand to realise complex business processes by combining…
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2005
2005
The Information-Form Data Association Filter
Brad Schumitsch
,
S. Thrun
,
Gary R. Bradski
,
K. Olukotun
Neural Information Processing Systems
2005
Corpus ID: 17136762
This paper presents a new filter for online data association problems in high-dimensional spaces. The key innovation is a…
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Highly Cited
2002
Highly Cited
2002
Distributed diagnosis for large discrete event dynamic systems
É. Fabre
,
A. Benveniste
,
C. Jard
2002
Corpus ID: 10390056
Abstract This paper presents a framework to deal with large systems, which cannot be handled as a whole. We propose to model them…
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2001
2001
Externalising Learner Modelling Representations
Juan-Diego Zapata-Rivera
,
J. Greer
2001
Corpus ID: 16711986
Research on inspectable learner models involves the study of representational aspects of the profile that systems maintain about…
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2000
2000
Data Mining and Official Statistics
G. Saporta
2000
Corpus ID: 60337153
Data mining is a new field at the frontiers of statistics and information technologies (database management, artificial…
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Highly Cited
1993
Highly Cited
1993
Virtual Reality Systems
R. Earnshaw
,
M. Gigante
,
H. Jones
1993
Corpus ID: 107580189
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