Fuzzy Mathematical Approach To Pattern Recognition

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Fuzzy Mathematical Approach To Pattern Recognition

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Author : Sankar K. Pal
language : en
Publisher:
Release Date : 1986

Fuzzy Mathematical Approach To Pattern Recognition written by Sankar K. Pal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Apprentissage automatique categories.

Fuzzy Mathematical Approach To Pattern Recognition

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Author : Sankar K. Pal
language : en
Publisher: John Wiley & Sons
Release Date : 1986-04-17

Fuzzy Mathematical Approach To Pattern Recognition written by Sankar K. Pal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-04-17 with Computers categories.

This book aims to present results of investigations, both experimental and theoretical, into the effectiveness of fuzzy algorithms as classification tools in some problems concerned with the field of pattern recognition and image processing. Compares results to those obtained with statistical classification techniques.

Pattern Recognition From Classical To Modern Approaches

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Author : Sankar Kumar Pal
language : en
Publisher: World Scientific
Release Date : 2001-11-23

Pattern Recognition From Classical To Modern Approaches written by Sankar Kumar Pal and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-23 with Computers categories.

This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource.

Soft Computing Approach To Pattern Recognition And Image Processing

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Author : Ashish Ghosh
language : en
Publisher: World Scientific
Release Date : 2002

Soft Computing Approach To Pattern Recognition And Image Processing written by Ashish Ghosh and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications.The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research.The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike.

Rough Fuzzy Image Analysis

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Author : Sankar K. Pal
language : en
Publisher: CRC Press
Release Date : 2010-05-04

Rough Fuzzy Image Analysis written by Sankar K. Pal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-04 with Computers categories.

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and

Advances In Pattern Recognition Icapr2003

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Author :
language : en
Publisher: Allied Publishers
Release Date : 2003

Advances In Pattern Recognition Icapr2003 written by and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Pattern recognition systems categories.

Fuzzy Models And Algorithms For Pattern Recognition And Image Processing

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Author : James C. Bezdek
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-08-31

Fuzzy Models And Algorithms For Pattern Recognition And Image Processing written by James C. Bezdek and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08-31 with Computers categories.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

Pattern Recognition And Machine Intelligence

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Author : Sanghamitra Bandyopadhyay
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-09

Pattern Recognition And Machine Intelligence written by Sanghamitra Bandyopadhyay and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-09 with Computers categories.

This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005. The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.

Granular Neural Networks Pattern Recognition And Bioinformatics

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Author : Sankar K. Pal
language : en
Publisher: Springer
Release Date : 2017-05-02

Granular Neural Networks Pattern Recognition And Bioinformatics written by Sankar K. Pal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-02 with Technology & Engineering categories.

This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,. The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.

Foundations Of Soft Case Based Reasoning

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Author : Sankar K. Pal
language : en
Publisher: John Wiley & Sons
Release Date : 2004-06-17

Foundations Of Soft Case Based Reasoning written by Sankar K. Pal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-17 with Technology & Engineering categories.

Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.