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PAMI
1998
134views more  PAMI 1998»
15 years 2 months ago
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition
—Deformable models have recently been proposed for many pattern recognition applications due to their ability to handle large shape variations.These proposed approaches represent...
Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
CIKM
1997
Springer
15 years 7 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
PERCOM
2004
ACM
16 years 2 months ago
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
Dave Snowdon, Jean-Luc Meunier, Martin Mühlen...
ICDE
2011
IEEE
281views Database» more  ICDE 2011»
14 years 7 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...
WEBI
2005
Springer
15 years 8 months ago
A MAS Approach to Fusion of Heterogeneous Information
Distributed Perception Networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering c...
Gregor Pavlin, Patrick de Oude, Jan Nunnink