Data processing framework for decision making |
Jan Larsen
|
| Abstract | We 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. |
| Keywords | statistics, bayesian learning, signal processing, fusion, combined methods, humanitarian mine action |
| Type | Misc [Presentation] |
| Journal/Book/Conference | Nordic Demining Research Forum Summer Conference |
| Year | 2008 Month August |
| Publisher | ISP Gorup, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark |
| Address | Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby, Denmark |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |