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ICPR
2008
IEEE
15 years 9 months ago
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lan...
163
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UAI
1997
15 years 3 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
125
Voted
AI
2002
Springer
15 years 2 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
155
Voted
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
15 years 9 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...
UIC
2009
Springer
15 years 9 months ago
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
Social networking has provided powerful new ways to find people, organize groups, and share information. Recently, the potential functionalities of the ubiquitous infrastructure le...
Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho