Search results for "reduction of training patterns"

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The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria

2013

Author's version of an article in the journal: Pattern Recognition. Also available from the publisher at: http://dx.doi.org/10.1016/j.patcog.2012.07.004 The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strategy would be to achieve this based on the (Mahalanobis) distance from the corresponding means. The reader should observe that, in this context, the mean, in one sense, is the most central point in the respective distribution. In this paper, we shall show that we can obtain opti…

Mahalanobis distanceVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412Feature vectorOrder statisticBayesian probabilityclassification by moments of order statistics020206 networking & telecommunicationsVDP::Technology: 500::Information and communication technology: 55002 engineering and technologyprototype reduction schemesNaive Bayes classifierBayes' theoremExponential familypattern classificationorder statisticsArtificial IntelligenceSignal Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmSoftwarereduction of training patternsMathematicsParametric statistics
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