0000000000463039
AUTHOR
Colin Bellinger
On the pattern recognition and classification of stochastically episodic events
Published version of a chapter published in the book: Transactions on Compuational Collective Intelligence VI. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-29356-6_1 Researchers in the field of Pattern Recognition (PR) have traditionally presumed the availability of a representative set of data drawn from the classes of interest, say ω 1 and ω 2 in a 2-class problem. These samples are typically utilized in the development of the system’s discriminant function. It is, however, widely recognized that there exists a particularly challenging class of PR problems for which a representative set is not available for the second class, which has motivated a great deal of…
A new frontier in novelty detection: Pattern recognition of stochastically episodic events
Published version of an article from the book: Intelligent Information and Database Systems, Lecture Notes in Computer Science. Also available from the publisher on SpringerLink:http://dx.doi.org/10.1007/978-3-642-20039-7_44 A particularly challenging class of PR problems in which the, generally required, representative set of data drawn from the second class is unavailable, has recently received much consideration under the guise of One-Class (OC) classification. In this paper, we extend the frontiers of OC classification by the introduction of a new field of problems open for analysis. In particular, we note that this new realm deviates from the standard set of OC problems based on the fo…