Table of Contents
Forewordvi
Prefacevii
Section I:
Modeling and Classification Using Bayesian Networks
Chapter I
A Novel Discriminative Naive Bayesian Network for Classification 1
Kaizhu Huang, Fujitsu Research and Development Centre Co Ltd, China
Zenglin Xu, Chinese University of Hong Kong Shatin, Hong Kong
Irwin King, Chinese University of Hong Kong Shatin, Hong Kong
Michael R Lyu, Chinese University of Hong Kong Shatin, Hong Kong
Zhangbing Zhou, Bell-Labs, Lucent Technologies, China
Chapter II
A Bayesian Belief Network Approach for Modeling Complex Domains 13
Ben K Daniel, University of Saskatchewan, Canada
Juan-Diego Zapata-Rivera, Educational Testing Service, USA
Gordon I McCalla, University of Saskatchewan, Canada
Chapter III
Data Mining of Bayesian Network Structure Using a Semantic Genetic Algorithm-Based Approach 42
Sachin Shetty, Old Dominion University, USA
Min Song, Old Dominion University, USA
Mansoor Alam, University of Toledo, USA
Chapter IV
NetCube: Fast, Approximate Database Queries Using Bayesian Networks 54
Dimitris Margaritis, Iowa State University, USA
Christos Faloutsos, Carnegie Mellon University, USA
Sebastian Thrun, Stanford University, USA
Chapter V
Applications of Bayesian Networks in Reliability Analysis 84
Helge Langseth, Norwegian University of Science and Technology, Norway
Luigi Portinale, University of Eastern Piedmont, Italy
Chapter VI
Application of Bayesian Modeling to Management Information Systems: A Latent Scores Approach 103
Sumeet Gupta, National University of Singapore, Singapore
Hee-Wong Kim, National University of Singapore, Singapore
Section II:
Bayesian network for Image Processing and Related Applications
Chapter VII
Bayesian Networks for Image Understanding 128
Andreas Savakis, Rochester Institute of Technology, USA
Jiebo Luo, Eastman Kodak Research Laboratories, USA
Michael Kane, Yale University, USA
Chapter VIII
Long Term Tracking of Pedestrians with Groups and Occlusions 151
Pedro M Jorge, Polytechnic Institute of Lisbon, Portugal
Arnaldo J Abrantes, Polytechnic Institute of Lisbon, Portugal
João M Lemos, INESC-ID/Instituto Superior Técnico, Portugal
Jorge S Marques, Instituto de Sistemas e Róbotica and Instituto Superior
Técnico, Lisbon, Portugal
Chapter IX
DBN Models for Visual Tracking and Prediction 176
Qian Diao, Intel China Research Center, China
Jianye Lu, Intel China Research Center, China
Wei Hu, Intel China Research Center, China
Yimin Zhang, Intel China Research Center, China
Gary Bradski, Microprocessor Research Lab/Intel Research, USA
Chapter X
Multimodal Human Localization Using Bayesian Network Sensor Fusion 194
David Lo, Carleton University, Canada
Chapter XI
Retrieval of Bio-Geophysical Parameters from Remotely Sensing Data by Using Bayesian Methodology 222
C Notarnicola, University of Bari, Italy
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