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OCCLUSION DETECTION IN DIGITAL IMAGES THROUGH BAYESIAN NETWORKS
Occlusion Detection Digital Photogrammetry Bayesian Networks Landscape and Image Maps Geometric Modeling and Processing
2014/12/31
Occlusions are a major obstacle for those dealing with the problem of automatically finding conjugate point pairs in overlapping images. They lead to mismatches or uncorrelated areas or features in th...
USE OF BAYESIAN NETWORKS AS JUDGEMENT CALCULUS IN A KNOWLEDGE BASED IMAGE INTERPRETATION SYSTEM
Image Interpretation Semantic Net Bayesian Network Multitemporal Analysis
2014/12/31
The increasing amount of remotely sensed imagery from multiple platforms requires efficient analysis techniques. The presented image interpretation system tries to automate the analysis of multisensor...
Learning the Structure of Bayesian Networks with Constraint Satisfaction
Bayesian networks Constraint satisfaction Constraint-based Structure learning
2014/12/18
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...
Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China
Hazardous materials (Hazmat) Transportation Bayesian networks Dempster–Shafer evidence theory Expectation–maximization algorithm
2012/4/14
Abstract
In this study, we applied Bayesian networks to prioritize the factors that influence hazardous material (Hazmat) transportation accidents. The Bayesian network structure was built based on e...
Application of Bayesian Networks to Diagnostics of Hot Dip Galvanized Coasts
Formalization of knowledge Uncertain knowledge Bayesian networks
2011/3/11
This study presents an output of the application of a probabilistic method of inference based on Bayes' rule in the diagnosis of defects formed during hot-dip galvanising process of casting products. ...
UNCERTAINTY MANAGEMENT USING BAYESIAN NETWORKS IN STUDENT KNOWLEDGE DIAGNOSIS
numerical uncertainty management intelligent computer based learning system Bayesian network
2010/1/12
In intelligent tutoring systems, student or user modeling implies dealing with imperfect and uncertain knowledge. One of the artificial intelligence techniques used for uncertainty management is that ...