Discriminant Analysis And Statistical Pattern Recognition

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Discriminant Analysis and Statistical Pattern Recognition

Author : Geoffrey McLachlan
Publisher : John Wiley & Sons
ISBN 13 : 0471725285
Total Pages : 526 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Discriminant Analysis and Statistical Pattern Recognition by : Geoffrey McLachlan

Download or read book Discriminant Analysis and Statistical Pattern Recognition written by Geoffrey McLachlan and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.

Statistical Pattern Recognition

Author : Andrew R. Webb
Publisher : John Wiley & Sons
ISBN 13 : 0470854782
Total Pages : 516 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Statistical Pattern Recognition by : Andrew R. Webb

Download or read book Statistical Pattern Recognition written by Andrew R. Webb and published by John Wiley & Sons. This book was released on 2003-07-25 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as data mining, web searching,multimedia data retrieval, face recognition, and cursivehandwriting recognition - require robust and efficient patternrecognition techniques. Statistical decision making and estimationare regarded as fundamental to the study of pattern recognition. Statistical Pattern Recognition, Second Edition has been fullyupdated with new methods, applications and references. It providesa comprehensive introduction to this vibrant area - with materialdrawn from engineering, statistics, computer science and the socialsciences - and covers many application areas, such as databasedesign, artificial neural networks, and decision supportsystems. * Provides a self-contained introduction to statistical patternrecognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vectormachines, and unsupervised classification. * Each section concludes with a description of the applicationsthat have been addressed and with further developments of thetheory. * Includes background material on dissimilarity, parameterestimation, data, linear algebra and probability. * Features a variety of exercises, from 'open-book' questions tomore lengthy projects. The book is aimed primarily at senior undergraduate and graduatestudents studying statistical pattern recognition, patternprocessing, neural networks, and data mining, in both statisticsand engineering departments. It is also an excellent source ofreference for technical professionals working in advancedinformation development environments. For further information on the techniques and applicationsdiscussed in this book please visit ahref="http://www.statistical-pattern-recognition.net/"www.statistical-pattern-recognition.net/a

Discriminant Analysis and Statistical Pattern Recognition

Author : Geoffrey McLachlan
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 556 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Discriminant Analysis and Statistical Pattern Recognition by : Geoffrey McLachlan

Download or read book Discriminant Analysis and Statistical Pattern Recognition written by Geoffrey McLachlan and published by Wiley-Interscience. This book was released on 1992-04-10 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflecting also the increasingly image-based nature of data, especially in remote sensing, the book outlines extensions of discriminant analysis motivated by problems in statistical image analysis." "The sequence of chapters is clearly and logically developed, beginning with a general introduction to discriminant analysis in Chapter 1.

Introduction to Statistical Pattern Recognition

Author : Keinosuke Fukunaga
Publisher : Elsevier
ISBN 13 : 0080478654
Total Pages : 606 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Introduction to Statistical Pattern Recognition by : Keinosuke Fukunaga

Download or read book Introduction to Statistical Pattern Recognition written by Keinosuke Fukunaga and published by Elsevier. This book was released on 2013-10-22 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.

Discriminant Analysis and Statistical Pattern Recognition

Author : Geoffrey J. McLachlan
Publisher : John Wiley & Sons
ISBN 13 : 0471725285
Total Pages : 552 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Discriminant Analysis and Statistical Pattern Recognition by : Geoffrey J. McLachlan

Download or read book Discriminant Analysis and Statistical Pattern Recognition written by Geoffrey J. McLachlan and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.

Statistical Pattern Recognition

Author : Chi-hau Chen
Publisher : Hayden
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Statistical Pattern Recognition by : Chi-hau Chen

Download or read book Statistical Pattern Recognition written by Chi-hau Chen and published by Hayden. This book was released on 1973 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition and Neural Networks

Author : Brian D. Ripley
Publisher : Cambridge University Press
ISBN 13 : 9780521717700
Total Pages : 420 pages
Book Rating : 4.7/5 (177 download)

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Book Synopsis Pattern Recognition and Neural Networks by : Brian D. Ripley

Download or read book Pattern Recognition and Neural Networks written by Brian D. Ripley and published by Cambridge University Press. This book was released on 2007 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Artificial Neural Networks and Statistical Pattern Recognition

Author : I.K. Sethi
Publisher : Elsevier
ISBN 13 : 148329787X
Total Pages : 286 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Artificial Neural Networks and Statistical Pattern Recognition by : I.K. Sethi

Download or read book Artificial Neural Networks and Statistical Pattern Recognition written by I.K. Sethi and published by Elsevier. This book was released on 2014-06-28 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the curse of dimensionality is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities.

Pattern Recognition Approach to Data Interpretation

Author : Diane Wolff
Publisher : Springer Science & Business Media
ISBN 13 : 146159331X
Total Pages : 226 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Pattern Recognition Approach to Data Interpretation by : Diane Wolff

Download or read book Pattern Recognition Approach to Data Interpretation written by Diane Wolff and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.

Instruction to Statistical Pattern Recognition

Author : Keinosuke Fukunaga
Publisher : Elsevier
ISBN 13 : 0323162789
Total Pages : 386 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Instruction to Statistical Pattern Recognition by : Keinosuke Fukunaga

Download or read book Instruction to Statistical Pattern Recognition written by Keinosuke Fukunaga and published by Elsevier. This book was released on 1972-01-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Pattern Recognition introduces the reader to statistical pattern recognition, with emphasis on statistical decision and estimation. Pattern recognition problems are discussed in terms of the eigenvalues and eigenvectors. Comprised of 11 chapters, this book opens with an overview of the formulation of pattern recognition problems. The next chapter is devoted to linear algebra, with particular reference to the properties of random variables and vectors. Hypothesis testing and parameter estimation are then discussed, along with error probability estimation and linear classifiers. The following chapters focus on successive approaches where the classifier is adaptively adjusted each time one sample is observed; feature selection and linear mapping for one distribution and multidistributions; and problems of nonlinear mapping. The final chapter describes a clustering algorithm and considers criteria for both parametric and nonparametric clustering. This monograph will serve as a text for the introductory courses of pattern recognition as well as a reference book for practitioners in the fields of mathematics and statistics.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Pasi Fränti
Publisher : Springer
ISBN 13 : 3662444151
Total Pages : 493 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Structural, Syntactic, and Statistical Pattern Recognition by : Pasi Fränti

Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Pasi Fränti and published by Springer. This book was released on 2014-08-13 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2014; comprising the International Workshop on Structural and Syntactic Pattern Recognition, SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The total of 25 full papers and 22 poster papers included in this book were carefully reviewed and selected from 78 submissions. They are organized in topical sections named: graph kernels; clustering; graph edit distance; graph models and embedding; discriminant analysis; combining and selecting; joint session; metrics and dissimilarities; applications; partial supervision; and poster session.

A Statistical Approach to Neural Networks for Pattern Recognition

Author : Robert A. Dunne
Publisher : John Wiley & Sons
ISBN 13 : 0470148144
Total Pages : 289 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis A Statistical Approach to Neural Networks for Pattern Recognition by : Robert A. Dunne

Download or read book A Statistical Approach to Neural Networks for Pattern Recognition written by Robert A. Dunne and published by John Wiley & Sons. This book was released on 2007-07-20 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models. This book aims to answer questions that arise when statisticians are first confronted with this type of model, such as: How robust is the model to outliers? Could the model be made more robust? Which points will have a high leverage? What are good starting values for the fitting algorithm? Thorough answers to these questions and many more are included, as well as worked examples and selected problems for the reader. Discussions on the use of MLP models with spatial and spectral data are also included. Further treatment of highly important principal aspects of the MLP are provided, such as the robustness of the model in the event of outlying or atypical data; the influence and sensitivity curves of the MLP; why the MLP is a fairly robust model; and modifications to make the MLP more robust. The author also provides clarification of several misconceptions that are prevalent in existing neural network literature. Throughout the book, the MLP model is extended in several directions to show that a statistical modeling approach can make valuable contributions, and further exploration for fitting MLP models is made possible via the R and S-PLUS® codes that are available on the book's related Web site. A Statistical Approach to Neural Networks for Pattern Recognition successfully connects logistic regression and linear discriminant analysis, thus making it a critical reference and self-study guide for students and professionals alike in the fields of mathematics, statistics, computer science, and electrical engineering.

Face Recognition

Author : Harry Wechsler
Publisher : Springer Science & Business Media
ISBN 13 : 3642722016
Total Pages : 645 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Face Recognition by : Harry Wechsler

Download or read book Face Recognition written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.

Ten Lectures on Statistical and Structural Pattern Recognition

Author : M.I. Schlesinger
Publisher : Springer Science & Business Media
ISBN 13 : 9781402006425
Total Pages : 556 pages
Book Rating : 4.0/5 (64 download)

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Book Synopsis Ten Lectures on Statistical and Structural Pattern Recognition by : M.I. Schlesinger

Download or read book Ten Lectures on Statistical and Structural Pattern Recognition written by M.I. Schlesinger and published by Springer Science & Business Media. This book was released on 2002-05-31 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph explores the close relationship of variouswell-known pattern recognition problems that have so far beenconsidered independent. These relationships became apparent with thediscovery of formal procedures for addressing known problems and theirgeneralisations. The generalised problem formulations were analysedmathematically and unified algorithms were found. The main scientificcontribution of this book is the unification of two main streams inpattern recognition - the statistical one and the structuralone. The material is presented in the form of ten lectures, each ofwhich concludes with a discussion with a student."Audience: " The book is intended for both researchers and studentswho work in knowledge management and organisation, machine learning, statistics, and symbolic and algebraic manipulations. It provides newviews and numerous original results in their field. Written in aneasily accessible style, it introduces the basic building blocks ofpattern recognition, demonstrates the beauty and the pitfalls ofscientific research, and encourages good habits in readingmathematical text.

Classification Pattern Recognition and Reduction of Dimensionality

Author : Paruchuri Rama Krishnaiah
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (8 download)

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Book Synopsis Classification Pattern Recognition and Reduction of Dimensionality by : Paruchuri Rama Krishnaiah

Download or read book Classification Pattern Recognition and Reduction of Dimensionality written by Paruchuri Rama Krishnaiah and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discrimination and Classification

Author : David J. Hand
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Discrimination and Classification by : David J. Hand

Download or read book Discrimination and Classification written by David J. Hand and published by . This book was released on 1981-11-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.

Pattern Recognition

Author : Erwin A. Zoeller
Publisher :
ISBN 13 : 9781600217173
Total Pages : 0 pages
Book Rating : 4.2/5 (171 download)

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Book Synopsis Pattern Recognition by : Erwin A. Zoeller

Download or read book Pattern Recognition written by Erwin A. Zoeller and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognition studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents new international research in the field.