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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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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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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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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 based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face;

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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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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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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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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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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

retina to object recognition, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning;

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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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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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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

A TEXTBOOK ON PATTERN RECOGNITION presents both classical and current theoretical foundation of pattern recognition and practice;

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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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Syntactic Pattern Recognition

This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till;

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Artificial Neural Networks in Pattern Recognition

areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and;

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Pattern Recognition

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex;

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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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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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Chinese Handwriting Recognition

most difficult Pattern Recognition tasks. Chinese handwriting recognition poses its own unique challenges, such as huge variations in strokes;

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Computational Intelligence in Pattern Recognition

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;

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