Data processing framework for decision making

Jan Larsen

AbstractWe present a data processing pipeline and discuss issues in various steps. Statistical modeling and machine learning is suggested as key element of optimizing the pipeline. Further methods for taking up the challenge of reliable detection is discussed. In particular the project DeFuse we aims at using combined methods for mine clearance is briefly presented.
Keywordsstatistics, bayesian learning, signal processing, fusion, combined methods, humanitarian mine action
TypeMisc [Presentation]
Journal/Book/ConferenceNordic Demining Research Forum Summer Conference
Year2008    Month August
PublisherISP Gorup, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby, Denmark
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing