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Computer Manual in MATLAB to accompany Pattern Classification

Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern;

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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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Pattern Classification

topics. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.;

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Computational Intelligence Paradigms in Advanced Pattern Classification

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting;

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Fundamentals Of Digital Image Processing

This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to;

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Digital Signal Processing Laboratory Experiments using MATLAB

is Laboratory Manual of Digital Signal Processing. All experiments are performed on MATLAB, e.g.: List of Experiments 1 To represent basic signals like;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB (R) courses dealing with;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB (R) courses dealing with;

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A Matlab Companion for Multivariable Calculus

Offering a concise collection of MatLab programs and exercises to accompany a third semester course in multivariable calculus, A MatLab;

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Corporate Computer Forensics Training System Laboratory Manual Volume I

This is the laboratory and exercise manual to accompany the text manual for Volume I of a corporate and law enforcement computer and;

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Computer Recognition Systems 2

of pattern recognition. The contributions cover all topics in pattern recognition including, for example, classification and interpretation of text;

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Introduction to Numerical Electrostatics Using MATLAB

of computer codes. * Computer source code listings on accompanying web site * Problem sets included with book * Readers using MATLAB or other;

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Progress in Pattern Recognition Image Analysis Computer Vision and Applicatio

in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval;

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Computer Vision and Image Processing

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The;

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Computer Vision and Image Processing

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The;

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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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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern;

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BSAVA Manual of Canine and Feline Wound Management and Reconstruction

flaps. In addition, the Manual features case studies and step-by-step operative techniques. Specially commissioned illustrations accompany the;

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Pattern Classification

Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods;

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Matrix Algorithms in MATLAB

are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a;

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Time Series Clustering and Classification

, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for;

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Time Series Clustering and Classification

, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial;

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Image Processing and Pattern Recognition

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Image and Video Technology

, computer vision and applications, image segmentation and classification, video surveillance, biomedical image processing and analysis, object and;

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