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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.
2013
2013
Exploiting Spatio-Temporal Scene Structure for Wide-Area Activity Analysis in Unconstrained Environments
N. Nayak
,
Yingying Zhu
,
A. Roy-Chowdhury
IEEE Transactions on Information Forensics and…
2013
Corpus ID: 91892
Surveillance videos in unconstrained environments typically consist of long duration sequences of activities which occur at…
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Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani
,
Nando de Freitas
,
H. Larochelle
,
Vittorio Murino
,
Jo-Anne Ting
International Conference on Machine Learning
2011
Corpus ID: 15076966
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by…
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Highly Cited
2009
Highly Cited
2009
Tree Block Coordinate Descent for MAP in Graphical Models
D. Sontag
,
T. Jaakkola
International Conference on Artificial…
2009
Corpus ID: 8154566
A number of linear programming relaxations have been proposed for finding most likely settings of the variables (MAP) in large…
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Highly Cited
2007
Highly Cited
2007
Gossip along the way: order-optimal consensus through randomized path averaging
F. Bénézit
,
A. Dimakis
,
Patrick Thiran
,
M. Vetterli
2007
Corpus ID: 11352968
Gossip algorithms have recently received significant attention, mainly because they constitute simple and robust algorithms for…
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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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2007
2007
Le Transport A la Demande (TAD) en France : de l'état des lieux à l'anticipation. Modélisation des caractéristiques fonctionnelles des TAD pour développer les modes flexibles de demain
É. Castex
2007
Corpus ID: 161905184
Le transport a la demande (TAD) est un mode de transport public a mi-chemin entre le taxi et le bus. Longtemps considere comme un…
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2006
2006
On LDPC codes over channels with memory
G. Colavolpe
IEEE Transactions on Wireless Communications
2006
Corpus ID: 15795877
The problem of detection and decoding of low-density parity-check (LDPC) codes transmitted over channels with memory is addressed…
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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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2003
2003
Intelligent sensor fusion: a graphical model approach
José M. F. Moura
,
Jin Lu
,
Marius Kleiner
IEEE International Conference on Acoustics…
2003
Corpus ID: 1687618
We study the fusion of data collected by multiple heterogeneous sensors that work cooperatively to achieve a common goal. The…
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1994
1994
On the use of Graph Grammars for defining the Syntax of Graphical Languages
J. Rekers
1994
Corpus ID: 18783907
In order to implement graphical editors which allow both for structured and free editing, a parsing algorithm is needed which can…
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