Titlebook: Evolutionary Image Analysis and Signal Processing; Stefano Cagnoni Book 2009 Springer-Verlag Berlin Heidelberg 2009 Signal.calculus.cognit

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https://doi.org/10.1007/978-94-007-5348-8osed architecture is advantageous in its suitability for online adaptation while maintaining a very high recognition speed. With its support for virtual run-time reconfiguration, the architecture is suitable for implementation in an on-chip evolution system. Function level modules and data buses are

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https://doi.org/10.1007/BFb0109335netic programming approach, where each genetic program returns just one floating point number that is then translated into different class labels, this approach invents a new program structure with multiple outputs, each for a particular class. A voting scheme is then applied to these output values

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Chaucerian Fecology and Wasteways: ,alysis system for Intravascular Ultrasound (IVUS) images. IVUS is a technique used to obtain real-time high-resolution tomographic images from the inside of coronary vessels and other arteries. The IVUS image feature detectors used in the analysis system are expert-designed and the default parameter

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Excursions in Astronomical Opticsproduced during an industrial process. MDE Frameworks employ the Differential Evolution (DE) as an evolutionary framework and a list of local searchers adaptively coordinated by a control scheme. Here, three different variants of MDE are taken into account and their features and performance are comp

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Harmonic Analysis of Databases and Matricesrs. The measured data may be incomplete and noisy. To solve this problem, we used a genetic algorithm for minimizing an alignment error. A lookup-based fitness function was devised. The considered range devices are laser and focalized ultrasonic scanners. Scan matching is often considered for mobile

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