Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in PucA³n, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of interest covered are image processing, restoration and segmentation; computer vision; clustering and artificial intelligence; pattern recognition and classification; applications of pattern recognition; and Chilean Workshop on Pattern Recognition.... estimator is given by I‚Iƒ2HMBN = argmax E†fS(m, n)(s), with E†fS(m, n)(s) an estimated pdf yielded using the uniform regions of an image. 2. Total least- squares error (TLSE) of pdf fitting estimator [10]: Derived based on minimizing the TLSE of fitting the partial histogram of ... The MR data was obtained from ADNI database and comprises a sequence of x 104 0 200 400 600 800 1000 1200 0 Thermal Noiseanbsp;...


Title:Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Author: César San Martin, Sang-Woon Kim
Publisher:Springer - 2011-11-12
ISBN-13:

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