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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way;

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Data Clustering and Image Segmentation Through Genetic Algorithms

mining, computer vision, image processing, and pattern recognition, as well as methods of designing competent algorithms based on decomposition;

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Evolutionary Programming IV

in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation;

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Computational Intelligence in Multi Feature Visual Pattern Recognition

This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Introduction to Pattern Recognition

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition.

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Computational Neuroscience

, decision-making and cognition, and algorithms for pattern recognition.;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Textbook on Pattern Recognition

is clearly presented and illustrated by many examples and applications and is designed for use as a text for course in pattern recognition for both;

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which;

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Optical Character Recognition Systems for Different Languages with Soft Computing

. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft;

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Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;

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Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;

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Introduction To Pattern Recognition

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields;

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Pattern Recognition

in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for;

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Computational Intelligence for Pattern Recognition

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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Advances in Swarm Intelligence, Part I

system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;

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Reproducible Research in Pattern Recognition

reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research;

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Scalable Pattern Recognition Algorithms

formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a;

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Syntactic Pattern Recognition

serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition;

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Graph-Based Representations in Pattern Recognition

reviewed and selected from 28 submissions. The papers discuss research results and applications at the intersection of pattern recognition, image;

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Pattern Recognition Applications in Engineering

are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition;

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