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Titlebook: Entropy Measures, Maximum Entropy Principle and Emerging Applications; Karmeshu Book 2003 Springer-Verlag Berlin Heidelberg 2003 Applied I

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F. Gerstenbrand,F. Aichner,M. Berger,G. Voglminimum entropy problem were directed towards finding analytical solutions for some specific set of constraints. Here, we present a numerical solution to the general minimum entropy problem and discuss the significance of minimum entropy and the MinMax measure. Some numerical examples are given for illustration.
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Archana Chatterjee M.D., Ph.D.,Maya Gogoi, explicit analytic formulae are presented for the estimation of the Lagrangian coefficients via asymptotic connections to the corresponding infinite capacity queue and GE-type formulae for the blocking probabilities per class. Furthermore, it is shown that the ME solution can be utilized, in conjun
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Endoanal Surgical Repair of Rectocoele on global image information (or histogram) and the other based on local image information (co-occurrence or two dimensional histogram). Our findings are: (i) the co-occurrence based entropy methods perform better than histogram based methods for image thresholding; (ii) some of the entropy measures
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Book 2003hannon introduced the concept of entropy. The notable feature of the entropy frame­ work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values e
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1434-9922 s that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values e978-3-642-05531-7978-3-540-36212-8Series ISSN 1434-9922 Series E-ISSN 1860-0808
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