EPSRC Reference: |
GR/N31511/01 |
Title: |
KERNEL METHODS FOR NOVELTY DETECTION |
Principal Investigator: |
Campbell, Dr C |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Engineering Mathematics and Technology |
Organisation: |
University of Bristol |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
15 January 2001 |
Ends: |
14 January 2003 |
Value (£): |
88,180
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EPSRC Research Topic Classifications: |
Intelligent & Expert Systems |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The objective is to develop new kernel based methods for novelty detection. Novelty detection has applications to a vast range of real-life applications in engineering, medical diagnosis, etc. The proposed new techniques would reduce learning times for handling large datasets, improve accuracy & interpretation of the results. They should also be straightforward to implement.
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Key Findings |
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.bris.ac.uk |