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pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers;
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microcontroller using MATLAB GUI environment; pattern recognition using quaternion colour moments; and pattern recognition by Bessel mask and one;
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A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book;
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keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;
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keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;
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This book shows how wavelets can be used to enhance computational intelligence for chaotic and complex pattern recognition problems. By;
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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;
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and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel;
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The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and;
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applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading;
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applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading;
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This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held;
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This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high;
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Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an;
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This book focuses on computational intelligence techniques and their applications - fast-growing and promising research topics that have;
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-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and;
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reviewed and selected from 67 submissions. They were organized in the following topical sections: pattern recognition techniques; image processing;
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; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications;
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unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular;
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unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular;
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sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural;
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; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications;
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Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition.
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computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real;
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Using MATLAB (R) presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial;
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