Group-based meta-classification

Samsudin, Noor A. and Bradley, Andrew P. (2008). Group-based meta-classification. In: M. Ejiri, R. Kasturi and G. Sanniti di Baja, 19th International Conference On Pattern Recognition, Vols 1-6. 19th International Conference on Pattern Recognition 2008 (ICPR 2008), Tampa, Florida, U.S.A., (2256-2259). 8-11 December 2008. doi:10.1109/ICPR.2008.4761778


Author Samsudin, Noor A.
Bradley, Andrew P.
Title of paper Group-based meta-classification
Conference name 19th International Conference on Pattern Recognition 2008 (ICPR 2008)
Conference location Tampa, Florida, U.S.A.
Conference dates 8-11 December 2008
Proceedings title 19th International Conference On Pattern Recognition, Vols 1-6   Check publisher's open access policy
Journal name 19th International Conference On Pattern Recognition, Vols 1-6   Check publisher's open access policy
Place of Publication Washington, DC, United States
Publisher I E E E Computer Society
Publication Year 2008
Sub-type Fully published paper
DOI 10.1109/ICPR.2008.4761778
ISBN 9781424421749
ISSN 1051-4651
Editor M. Ejiri
R. Kasturi
G. Sanniti di Baja
Start page 2256
End page 2259
Total pages 4
Collection year 2009
Language eng
Abstract/Summary Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the classifier labels a group of homogeneous samples. In this way, GBC can take advantage of the additional prior knowledge that all samples belong to the same, unknown, class. We pose GBC in a generic hypothesis testing framework requiring the selection of an appropriate sample and test statistic. We then evaluate one simple example of GBC on both synthetic and real data sets and demonstrate that GBC may be a promising approach in applications where the test data can be arranged into homogenous subsets.
Subjects E1
080109 Pattern Recognition and Data Mining
970108 Expanding Knowledge in the Information and Computing Sciences
970109 Expanding Knowledge in Engineering
Keyword Group based classification
Pattern classification
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 4761778

 
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Created: Fri, 17 Apr 2009, 02:10:59 EST by Ms Kimberley Nunes on behalf of Faculty Of Engineering, Architecture & Info Tech