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Thomas, A., John Oommen, B. (2013) The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria. Pattern Recognition, 46 (1). 376-388 doi:10.1016/j.patcog.2012.07.004

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Reference TypeJournal (article/letter/editorial)
TitleThe fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria
JournalPattern Recognition
AuthorsThomas, A.Author
John Oommen, B.Author
Year2013 (January)Volume46
Issue1
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2012.07.004Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9365344Long-form Identifiermindat:1:5:9365344:6
GUID0
Full ReferenceThomas, A., John Oommen, B. (2013) The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria. Pattern Recognition, 46 (1). 376-388 doi:10.1016/j.patcog.2012.07.004
Plain TextThomas, A., John Oommen, B. (2013) The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria. Pattern Recognition, 46 (1). 376-388 doi:10.1016/j.patcog.2012.07.004
In(2013, January) Pattern Recognition Vol. 46 (1) Elsevier BV

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Thomas, A., John Oommen, B. (2014) Corrigendum to three papers that deal with “Anti”-Bayesian Pattern Recognition [Pattern Recognition]. Pattern Recognition, 47 (6). 2301-2302 doi:10.1016/j.patcog.2014.01.001
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