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Titlebook: Evolutionary Computer Vision; The First Footprints Gustavo Olague Textbook 2016 Springer-Verlag Berlin Heidelberg 2016 Artificial Vision.Co

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Die Funktionsweise des EG-Systemsstrategies. As a result, an evolutionary-based optimization methodology is outlined with the goal of planning photogrammetric networks. Experimental results in simulation and practice are provided, giving novel and well-known camera configurations that validate the practicality of the proposed methodology.
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Introductionhas been used at the EvoVisión laboratory during the last decade. This section has the aim of sharing the methodology that is used in many research laboratories across the world. Finally, the chapter ends with a brief overview about the material covered in this book.
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Evolutionary Visual Learning with Linear Genetic Programming classification accuracy as the fitness function. Texture is analyzed based on the gray level cooccurrence matrix and classification is carried out by an SVM committee. Results show effective performance compared with previous results using a standard image database.
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1619-7127 optimization and paradigm of artificial evolution.Useful fo.This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results f
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