| EPSRC Reference: |
GR/M05614/01 |
| Title: |
FUNDAMENTAL ISSUES IN NOVELTY DETECTION |
| Principal Investigator: |
Tarassenko, Professor L |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Engineering Science |
| Organisation: |
University of Oxford |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 1998 |
Ends: |
30 June 2002 |
Value (£): |
164,299
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| EPSRC Research Topic Classifications: |
| Intelligent & Expert Systems |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The detection of abnormalities or novel events is a generic issue which is becoming more and more important in many different fields. A new aspect of the research will be the use of local probabilistic models of normality in order to take into account the variations in data density in input space. The models will vary from Parzen density estimators to Gaussian Mixture Models and we will explore the trade-off between models with large numbers of kernels and local variance and those with few kernels but for which both the variance and the priors can be varied. We will also develop techniques for the assessment of the validity of the normality models, an issue which has not so far been addressed for multi-variate data. Finally, we intend to consider an entirely new problem, that of dynamic novelty detection. In this case, all the patterns generated by the underlying data generator may themselves be normal (i.e. non-novel) but the sequence in which they occur is unexpected or novel. The approach here will be based on a combination of Hidden Markov Models and the Generative Topographic Mapping (GTM) algorithm for visualisation of high-dimensional data.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| 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 |
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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.ox.ac.uk |