Browsing Faculty of Engineering and Science by Subject "classification using Order Statistics (OS)"
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On achieving near-optimal “Anti-Bayesian” Order Statistics-Based classification fora asymmetric exponential distributions
(Lecture Notes in Computer Science;8047, Chapter; Peer reviewed, 2013)This paper considers the use of Order Statistics (OS) in the theory of Pattern Recognition (PR). The pioneering work on using OS for classification was presented in [1] for the Uniform distribution, where it was shown that ... -
Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria
(Lecture Notes in Computer Science;7441, Chapter; Peer reviewed, 2012)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 ... -
Ultimate Order Statistics-Based Prototype Reduction Schemes
(Lecture Notes in Computer Science;8272, Chapter; Peer reviewed, 2013)The objective of Prototype Reduction Schemes (PRSs) and Border Identification (BI) algorithms is to reduce the number of training vectors, while simultaneously attempting to guarantee that the classifier built on the reduced ...