Titlebook: New Approaches in Intelligent Image Analysis; Techniques, Methodol Roumen Kountchev,Kazumi Nakamatsu Book 2016 Springer International Publi

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lipoatrophy

,Tissue Segmentation Methods Using 2D Histogram Matching?in a Sequence of MR Brain Images,after distance learning. We apply the matching?using LUT and two ways of distance metric learning: LMNN and NCA. Finally, segmentation of the test MR image is performed using back projection with majority vote between the probability maps of each tissue region, where the inter-tissue edge entries ar

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Audio Visual Attention Models in the Mobile Robots Navigation,cal, medical and technical experimental investigations relating the human audio and visual attention, with the human audio and visual perception with the leading role of the brain activity. Of course, the results from these investigations are very important, but not sufficient for the mobile robots

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Book 2016 Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas..

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Volodymyr ?Kudriashovral Decomposition Methodology", and "About Tail Independence" (co-authored by M. Frick), and the new chapter about "Extreme Value Statistics of Dependent Random Variables" (co-authored by H. Drees). Other new topics, e.g., a chapter about "Environmental Sciences", (co--authored by R.W. Katz), are collected within Parts IV–VI..978-3-0348-6336-0

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1868-4394 ps...Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas..978-3-319-81219-9978-3-319-32192-9Series ISSN 1868-4394 Series E-ISSN 1868-4408

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Roumen Kountchev,Roumiana Kountchevaill also bene?t graduate students, both in statistics and subject areas who must deal with the analysis of environmental ?elds. In fact we have given a successful statistics graduate course based on it. The boo978-1-4419-2086-7978-0-387-35429-3Series ISSN 0172-7397 Series E-ISSN 2197-568X