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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 11 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
ISI
2006
Springer
13 years 4 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
UMUAI
1998
157views more  UMUAI 1998»
13 years 4 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
WWW
2005
ACM
14 years 5 months ago
Executing incoherency bounded continuous queries at web data aggregators
Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
Rajeev Gupta, Ashish Puri, Krithi Ramamritham
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...