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Lookup NU author(s): Dr Aftab Khan
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Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way. This may require continuous adaptive learning to be abandoned and a new learning process initiated in the new domain. A related problem is that of anomaly rectification; the adaptation of the existing learning mechanism to the change of domain. As a concrete instantiation of this notion, the current paper investigates a novel lattice-based HMM induction strategy for arbitrary court-game environments. We test (in real and simulated domains) the ability of the method to adapt to a change of rule structures going from tennis singles to tennis doubles. Our long term aim is to build a generic system for transferring game-rule inferences.
Author(s): Khan A, Windridge D, de Campos T, Kittler J, Christmas W
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Pattern Recognition (ICPR), 20th International Conference on
Year of Conference: 2010
Pages: 4372-4375
ISSN: 1051-4651
Publisher: IEEE
URL: http://dx.doi.org/10.1109/ICPR.2010.1063
DOI: 10.1109/ICPR.2010.1063
Library holdings: Search Newcastle University Library for this item
ISBN: 9781424475421
