Nonnumeric Pattern Classifiers

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Nonnumeric Pattern Classifiers

Author :
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Nonnumeric Pattern Classifiers by :

Download or read book Nonnumeric Pattern Classifiers written by and published by . This book was released on 1991 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical study was performed to determine if artificial neural systems can be used to generalize rules from examples. A method for generating rules from a multilayer network was investigated. When the network was presented with few training patterns, the rules derived from the network classified all patterns correctly. The generalization capabilities of the Pao-flu and neural network classifiers were compared with each other and with the ID3 method. Classifiers were compared by applying all methods to several data sets and examining the similarities and differences among them. It was demonstrated that the neural network could act as a rule generator for an expert system. The tests have shown that the network can correctly generate rules and subsequently correctly classify patterns ... Artificial neural networks, Pattern classifiers, Expert systems, Machine learning.

Pattern Classification

Author : Richard O. Duda
Publisher : John Wiley & Sons
ISBN 13 : 111858600X
Total Pages : 680 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Pattern Classification by : Richard O. Duda

Download or read book Pattern Classification written by Richard O. Duda and published by John Wiley & Sons. This book was released on 2012-11-09 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Combining Pattern Classifiers

Author : Ludmila I. Kuncheva
Publisher : John Wiley & Sons
ISBN 13 : 1118914546
Total Pages : 384 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Combining Pattern Classifiers by : Ludmila I. Kuncheva

Download or read book Combining Pattern Classifiers written by Ludmila I. Kuncheva and published by John Wiley & Sons. This book was released on 2014-08-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004. Dr. Kuncheva has plucked from the rich landscape of recent classifier ensemble literature the topics, methods, and algorithms that will guide the reader toward a deeper understanding of the fundamentals, design, and applications of classifier ensemble methods. Thoroughly updated, with MATLAB® code and practice data sets throughout, Combining Pattern Classifiers includes: Coverage of Bayes decision theory and experimental comparison of classifiers Essential ensemble methods such as Bagging, Random forest, AdaBoost, Random subspace, Rotation forest, Random oracle, and Error Correcting Output Code, among others Chapters on classifier selection, diversity, and ensemble feature selection With firm grounding in the fundamentals of pattern recognition, and featuring more than 140 illustrations, Combining Pattern Classifiers, Second Edition is a valuable reference for postgraduate students, researchers, and practitioners in computing and engineering.

Computational Intelligence

Author : Witold Pedrycz
Publisher : CRC Press
ISBN 13 : 0849326435
Total Pages : 298 pages
Book Rating : 4.8/5 (493 download)

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Book Synopsis Computational Intelligence by : Witold Pedrycz

Download or read book Computational Intelligence written by Witold Pedrycz and published by CRC Press. This book was released on 1997-09-08 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence as a new development paradigm of intelligent systems has resulted from a synergy between neural networks, fuzzy sets, and genetic computations. This emerging area, even at its very earliest stage, has already attracted the attention of top researchers and practitioners. Computational Intelligence: An Introduction delivers a highly readable and fully systematic treatment of the fundamentals of CI, along with the clear presentation of sound and comprehensive analysis and design practices. This text pulls together much of the scattered information written about this emerging field. Most publications dealing with CI are highly specialized and concentrate narrowly on the symbiosis between NN, FS, and GAs. Computational Intelligence: An Introduction bridges the gap between all three areas and CI. This is an important text for anyone engaged in any way with genetic algorithms, fuzzy sets, neural networks, and computational intelligence.

Digital Image Processing and Pattern Recognition

Author : Pakhira Malay K.
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120340914
Total Pages : 523 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis Digital Image Processing and Pattern Recognition by : Pakhira Malay K.

Download or read book Digital Image Processing and Pattern Recognition written by Pakhira Malay K. and published by PHI Learning Pvt. Ltd.. This book was released on 2011-02 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for undergraduate and postgraduate students of Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, and Electrical Engineering. The book comprehensively covers all the important topics in digital image processing and pattern recognition along with the fundamental concepts, mathematical preliminaries and theoretical derivations of significant theorems. The image processing topics include coverage of image formation, digitization, lower level processing, image analysis, image compression, and so on. The topics on pattern recognition include statistical decision making, decision tree learning, artificial neural networks, clustering and others. An application of simulated annealing for edge detection is described in an appendix. The book is profusely illustrated with more than 200 figures and sketches as an added feature. KEY FEATURES: Provides a large number of worked examples to strengthen the grasp of the concepts. Lays considerable emphasis on the algorithms in order to teach students how to write good practical programs for problem solving. Devotes a separate chapter to currently used image format standards. Offers problems at the end of each chapter to help students test their understanding of the fundamentals of the subject.

GeoComputational Modelling

Author : Manfred M. Fischer
Publisher : Springer Science & Business Media
ISBN 13 : 3662046377
Total Pages : 286 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis GeoComputational Modelling by : Manfred M. Fischer

Download or read book GeoComputational Modelling written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field. It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails. The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science.

Pattern Recognition

Author : Jesús Ariel Carrasco-Ochoa
Publisher : Springer
ISBN 13 : 3030210774
Total Pages : 444 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Pattern Recognition by : Jesús Ariel Carrasco-Ochoa

Download or read book Pattern Recognition written by Jesús Ariel Carrasco-Ochoa and published by Springer. This book was released on 2019-06-19 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th Mexican Conference on Pattern Recognition, MCPR 2019, held in Querétaro, Mexico, in June 2019. The 40 papers presented in this volume were carefully reviewed and selected from 86 submissions. They were organized in topical sections named: artificial intelligence techniques and recognition; computer vision; industrial and medical applications of pattern recognition; image processing and analysis; pattern recognition techniques; signal processing and analysis; natural language, and processing and recognition.

A Non-Parametric Algorithm for Pattern Classification

Author : Witold Malina
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis A Non-Parametric Algorithm for Pattern Classification by : Witold Malina

Download or read book A Non-Parametric Algorithm for Pattern Classification written by Witold Malina and published by . This book was released on 1976 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Manual for Position Classifiers

Author : United States. Navy Department. Office of Industrial Relations
Publisher :
ISBN 13 :
Total Pages : 568 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Manual for Position Classifiers by : United States. Navy Department. Office of Industrial Relations

Download or read book Manual for Position Classifiers written by United States. Navy Department. Office of Industrial Relations and published by . This book was released on 1963 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Pattern Recognition ICAPR2003

Author :
Publisher : Allied Publishers
ISBN 13 : 9788177645323
Total Pages : 528 pages
Book Rating : 4.6/5 (453 download)

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Book Synopsis Advances in Pattern Recognition ICAPR2003 by :

Download or read book Advances in Pattern Recognition ICAPR2003 written by and published by Allied Publishers. This book was released on 2003 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Author : James C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 0387245790
Total Pages : 786 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Fuzzy Models and Algorithms for Pattern Recognition and Image Processing by : James C. Bezdek

Download or read book Fuzzy Models and Algorithms for Pattern Recognition and Image Processing written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Progress in Pattern Recognition, Image Analysis and Applications

Author : Luis Rueda
Publisher : Springer
ISBN 13 : 3540767258
Total Pages : 989 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis and Applications by : Luis Rueda

Download or read book Progress in Pattern Recognition, Image Analysis and Applications written by Luis Rueda and published by Springer. This book was released on 2007-11-13 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. The 97 revised full papers presented together with four keynote articles were carefully reviewed and selected from 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in areas such as computer vision, robotics, industry and health.

Pattern Recognition

Author : Sankar K. Pal
Publisher : World Scientific
ISBN 13 : 9810246846
Total Pages : 635 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Pattern Recognition by : Sankar K. Pal

Download or read book Pattern Recognition written by Sankar K. Pal and published by World Scientific. This book was released on 2001 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Analysis and GeoComputation

Author : Manfred M. Fischer
Publisher : Springer Science & Business Media
ISBN 13 : 3540357300
Total Pages : 332 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Spatial Analysis and GeoComputation by : Manfred M. Fischer

Download or read book Spatial Analysis and GeoComputation written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2006-11-22 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected essays of Manfred M. Fischer in the field of spatial analysis from the perspective of GeoComputation. The volume is structured in four parts, from broad issues in spatial analysis and the role of GIS to computational intelligence technologies such as neural networks. The third part provides the theoretical framework required for adaptive pattern classifiers in remote sensing environments. The final section outlines the latest in neural spatial interaction modeling.

Pattern Recognition in Soft Computing Paradigm

Author : Nikhil R. Pal
Publisher : World Scientific
ISBN 13 : 9812811699
Total Pages : 411 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Pattern Recognition in Soft Computing Paradigm by : Nikhil R. Pal

Download or read book Pattern Recognition in Soft Computing Paradigm written by Nikhil R. Pal and published by World Scientific. This book was released on 2001 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing. Contents: Dimensionality Reduction Techniques for Interactive Visualization, Exploratory Data Analysis, and Classification (A KAnig); Feature Selection by Artificial Neural Network for Pattern Classification (B Chakraborty); A New Clustering with Estimation of Cluster Number Based on Genetic Algorithm (K Imai et al.); Minimizing the Measurement Cost in the Classification of New Samples by Neural-Network-Based Classifiers (H Ishibuchi & M Nii); Extraction of Fuzzy Rules from Numerical Data for Classifiers (N R Pal & A Sarkar); A Texture Image Segmentation Method Using Neural Networks and Binary Features (J Zhang & S Oe); Image Retrieval System Based on Subjective Information (K Yoshida et al.); and other papers. Readership: Graduate students, researchers and lecturers in pattern recognition and image analysis."

Department of the Navy Manual for Position Classifiers

Author : United States. Navy Department. Office of Industrial Relations
Publisher :
ISBN 13 :
Total Pages : 568 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis Department of the Navy Manual for Position Classifiers by : United States. Navy Department. Office of Industrial Relations

Download or read book Department of the Navy Manual for Position Classifiers written by United States. Navy Department. Office of Industrial Relations and published by . This book was released on 1963 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scalable Pattern Recognition Algorithms

Author : Pradipta Maji
Publisher : Springer Science & Business Media
ISBN 13 : 3319056301
Total Pages : 316 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Scalable Pattern Recognition Algorithms by : Pradipta Maji

Download or read book Scalable Pattern Recognition Algorithms written by Pradipta Maji and published by Springer Science & Business Media. This book was released on 2014-03-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.