Document Detail

Robust fusion of uncertain information.
MedLine Citation:
PMID:  15971926     Owner:  NLM     Status:  MEDLINE    
A technique is presented to combine n data points, each available with point-dependent uncertainty, when only a subset of these points come from N < n sources, where N is unknown. We detect the significant modes of the underlying multivariate probability distribution using a generalization of the nonparametric mean shift procedure. The number of detected modes automatically defines N, while the belonging of a point to the basin of attraction of a mode provides the fusion rule. The robust data fusion algorithm was successfully applied to two computer vision problems: estimating the multiple affine transformations, and range image segmentation.
Haifeng Chen; Peter Meer
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Letter; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society     Volume:  35     ISSN:  1083-4419     ISO Abbreviation:  IEEE Trans Syst Man Cybern B Cybern     Publication Date:  2005 Jun 
Date Detail:
Created Date:  2005-06-23     Completed Date:  2005-07-19     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9890044     Medline TA:  IEEE Trans Syst Man Cybern B Cybern     Country:  United States    
Other Details:
Languages:  eng     Pagination:  578-86     Citation Subset:  IM    
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MeSH Terms
Artificial Intelligence*
Cluster Analysis
Computer Graphics
Computer Simulation
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Information Storage and Retrieval / methods*
Models, Biological
Models, Statistical
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Subtraction Technique*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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