Titlebook: Evolutionary Computation Techniques: A Comparative Perspective; Erik Cuevas,Valentín Osuna,Diego Oliva Book 2017 Springer International Pu

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Katharina Spraul,Julia Hufnagel,Roman Balzernted the best possible resemblance between a sub-image known as template and its coincident region within a source image. TM involves two critical aspects: similarity measurement and search strategy. The simplest available TM method finds the best possible coincidence between the images through an e

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sundowning

S. Weissman Dr. phil., Dipl. Psychologinacted the attention of various researches. The main drawback in accurate modeling is the lack of information about the precise parameter values which indeed characterize the solar cell. Since such parameters cannot be extracted from the datasheet specifications, an optimization technique is necessar

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https://doi.org/10.1007/978-3-642-60751-6ls (WBC) in smear images. The study of this kind of images has engaged researchers from fields of medicine and computer vision alike. Several studies have been done to try to approximate this cells with circular or ellipsoid forms; once detected, those cells can be further processed by computer visi

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Differentialethik und Psychiatrieesence of a high proportion of outliers. The most known method to overcome this problem is the random sampling consensus (RANSAC). Such technique, in combination with Harmony Search (HS), are used in this chapter for a robust estimation of multiple view relations from point correspondences in digita

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