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Adaptive Learning And Pattern Recognition Systems Theory And Applications
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Book Synopsis Adaptive, Learning, and Pattern Recognition Systems; theory and applications by : Mendel
Download or read book Adaptive, Learning, and Pattern Recognition Systems; theory and applications written by Mendel and published by Academic Press. This book was released on 1970-02-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive, Learning, and Pattern Recognition Systems; theory and applications
Book Synopsis Adaptive and Learning Systems by : Kumpati S. Narendra
Download or read book Adaptive and Learning Systems written by Kumpati S. Narendra and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a glimpse of the status of research in adaptive and learning systems in 1985. In recent years these areas have spawned a multiplicity of ideas so rapidly that the average research worker or practicing engineer is overwhelmed by the flood of information. The Yale Workshop on Applications of Adaptive Systems Theory was organized in 1979 to provide a brief respite from this deluge, wherein critical issues may be examined in a calm and collegial environment. The fourth of the series having been held in May 1985, it has now become well established as a biennial forum for the lively exchange of ideas in the ever changing domain of adaptive systems. The scope of this book is broad and ranges from theoretical investigations to practical applications. It includes twenty eight papers by leaders in the field, selected from the Pro ceedings of the Fourth Yale Workshop and divided into five sections. I have provided a brief introduction to each section so that it can be read as a self-contained unit. The first section, devoted to adaptive control theory, suggests the intensity of activity in the field and reveals signs of convergence towards some common themes by workers with rather different moti vation. Preliminary results concerning the reduced order model problem are dramatically changing the way we view the field and bringing it closer to other areas such as robust linear control where major advances have been recently reported.
Book Synopsis Pattern Recognition Theory and Applications by : J. Kittler
Download or read book Pattern Recognition Theory and Applications written by J. Kittler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of the successful NATO Advanced Study Institute on Pattern Recognition Theory and Applications, held at St. Anne's College, Oxford, in April 1981., The aim of the meeting was to review the recent advances in the theory of pattern recognition and to assess its current and future practical potential. The theme of the Institute - the decision making aspects of pattern recognition with the emphasis on the novel hybrid approaches - and its scope - a high level tutorial coverage of pattern recognition methodologies counterpointed with contrib uted papers on advanced theoretical topics and applications - are faithfully reflected by the volume. The material is divided into five sections: 1. Methodology 2. Image Understanding and Interpretation 3. Medical Applications 4. Speech Processing and Other Applications 5. Panel Discussions. The first section covers a broad spectrum of pattern recognition methodologies, including geometric, statistical, fuzzy set, syntactic, graph-theoretic and hybrid approaches. Its cove,r age of hybrid methods places the volume in a unique position among existing books on pattern recognition. The second section provides an extensive treatment of the topical problem of image understanding from both the artificial intelligence and pattern recognition points of view. The two application sections demonstrate the usefulness of the novel methodologies in traditional pattern 'recognition application areas. They address the problems of hardware/software implementation and of algorithm robustness, flexibility and general reliability. The final section reports on a panel discussion held during the Institute.
Book Synopsis Applications of Pattern Recognition by : King-Sun Fu
Download or read book Applications of Pattern Recognition written by King-Sun Fu and published by CRC Press. This book was released on 2019-07-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.
Book Synopsis Syntactic Pattern Recognition, Applications by : K.S. Fu
Download or read book Syntactic Pattern Recognition, Applications written by K.S. Fu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space. Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics. A relatively new approach is the syntactic approach. In the syntactic approach, ea ch pattem is expressed in terms of a composition of its components. The recognition of a pattem is usually made by analyzing the pattem structure according to a given set of rules. Earlier applications of the syntactic approach indude chromosome dassification, English character recognition and identification of bubble and spark chamber events. The purpose of this monograph is to provide a summary of the major reeent applications of syntactic pattem recognition. After a brief introduction of syntactic pattem recognition in Chapter 1, the nin e mai n chapters (Chapters 2-10) can be divided into three parts. The first three chapters concem with the analysis of waveforms using syntactic methods. Specific application examples indude peak detection and interpretation of electro cardiograms and the recognition of speech pattems. The next five chapters deal with the syntactic recognition of two-dimensional pictorial pattems.
Book Synopsis Systems Theory in the Social Sciences by : BOSSEL
Download or read book Systems Theory in the Social Sciences written by BOSSEL and published by Birkhäuser. This book was released on 2013-11-11 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an ever more complex and interrelated world, a better understanding of social systems and of the dynamics of their behavior is of crucial im portance. Many of the tools holding promise of potentially significant contributions to the analysis of social systems have been, or are being developed outside of the social sciences proper, mostly the loose collec tion of diverse scientific approaches called' systems science' or , systems theory' . The editors - all of whom are involved in social systems analysis - have made an attempt in this volume to pull together several aspects of systems science which appear to them to be of particular relevance to the study of social systems: Control systems, stochastic systems, pattern recog nition, fuzzy analysis, simulation, and behavioral models. 29 authors from the disciplines of sociology, social psychology, political science, management science, history, behavioral science, economics, mathematics, engineering, and systems science have contributed to this truly interdis ciplinary effort. All of them have made the attempt to write in a manner understandable by the non-specialist. It is hoped that this volume will be of particular usefulness to students in the social sciences. Most of the articles are too short to provide much more than an initial stimulation. We trust that the references provided by the authors will allow deeper penetration into particular areas.
Book Synopsis Intrinsically Motivated Learning in Natural and Artificial Systems by : Gianluca Baldassarre
Download or read book Intrinsically Motivated Learning in Natural and Artificial Systems written by Gianluca Baldassarre and published by Springer Science & Business Media. This book was released on 2013-03-29 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and interest in learning new behaviours. The adaptive value of such intrinsically motivated activities lies in the fact that they allow the cumulative acquisition of knowledge and skills that can be used later to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans they underlie lifelong learning, artistic creativity, and scientific discovery, while they are also the basis for processes that strongly affect human well-being, such as the sense of competence, self-determination, and self-esteem. This book has two aims: to present the state of the art in research on intrinsically motivated learning, and to identify the related scientific and technological open challenges and most promising research directions. The book introduces the concept of intrinsic motivation in artificial systems, reviews the relevant literature, offers insights from the neural and behavioural sciences, and presents novel tools for research. The book is organized into six parts: the chapters in Part I give general overviews on the concept of intrinsic motivations, their function, and possible mechanisms for implementing them; Parts II, III, and IV focus on three classes of intrinsic motivation mechanisms, those based on predictors, on novelty, and on competence; Part V discusses mechanisms that are complementary to intrinsic motivations; and Part VI introduces tools and experimental frameworks for investigating intrinsic motivations. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.
Book Synopsis Pattern Recognition and Machine Learning by : King-Sun Fu
Download or read book Pattern Recognition and Machine Learning written by King-Sun Fu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.
Book Synopsis Artificial Neural Networks by : P.J. Braspenning
Download or read book Artificial Neural Networks written by P.J. Braspenning and published by Springer Science & Business Media. This book was released on 1995-06-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.
Book Synopsis Digital Pattern Recognition by : K. S. Fu
Download or read book Digital Pattern Recognition written by K. S. Fu and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its publication in 1976, the original volume has been warmly received. We have decided to put out this updated paperback edition so that the book can be more accessible to students. This paperback edition is essentially the same as the original hardcover volume except for the addition of a new chapter (Chapter 7) which reviews the recent advances in pattern recognition and image processing. Because of the limitations of length, we can only report the highlights and point the readers to the literature. A few typographical errors in the original edition were corrected. We are grateful to the National Science Foundation and the Office of Naval Research for supporting the editing of this book as well as the work described in Chapter 4 and a part of Chapter 7. West Lafayette, Indiana March 1980 K. S. Fu Preface to the First Edition During the past fifteen years there has been a considerable growth of interest in problems of pattern recognition. Contributions to the blossom of this area have come from many disciplines, including statistics, psychology, linguistics, computer science, biology, taxonomy, switching theory, communication theory, control theory, and operations research. Many different approaches have been proposed and a number of books have been published. Most books published so far deal with the decision-theoretic (or statistical) approach or the syntactic (or linguistic) is still far from its maturity, many approach.
Book Synopsis Neural Networks for Intelligent Signal Processing by : Anthony Zaknich
Download or read book Neural Networks for Intelligent Signal Processing written by Anthony Zaknich and published by World Scientific. This book was released on 2003 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression NN. Contents: A Brief Historical Overview; Basic Concepts; ANN Performance Evaluation; Basic Pattern Recognition Principles; ADALINES, Adaptive Filters, and Multi-Layer Perceptrons; Probabilistic Neural Network Classifier; General Regression Neural Network; The Modified Probabilistic Neural Network; Advanced MPNN Developments; Neural Networks Similar to the Common Bandwidth Spherical Basis Function Regression ANNs; Unsupervised Learning Neural Networks; Other Neural Network Models; Statistical Learning Theory; Application to Intelligent Signal Processing; Application to Intelligent Control. Readership: Students and professionals in computer science and engineering.
Book Synopsis 2nd Interagency Workshop on In-Situ Water-Quality Sensing: Biological Sensors, Pensacola Beach, Florida, April 28-30, 1980 by :
Download or read book 2nd Interagency Workshop on In-Situ Water-Quality Sensing: Biological Sensors, Pensacola Beach, Florida, April 28-30, 1980 written by and published by . This book was released on 1981 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pattern Recognition and Image Preprocessing by : Sing T. Bow
Download or read book Pattern Recognition and Image Preprocessing written by Sing T. Bow and published by CRC Press. This book was released on 2002-01-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for solutions to common roadblocks in data processing; computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net; detailed appendices with data sets illustrating key concepts in the text; and more.
Book Synopsis Syntactic Methods in Pattern Recognition by :
Download or read book Syntactic Methods in Pattern Recognition written by and published by Elsevier. This book was released on 1974-11-15 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
Book Synopsis Recognition of Patterns by : Peter W. Becker
Download or read book Recognition of Patterns written by Peter W. Becker and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this publication was initiated at the General Electric Company's Electronics Laboratory, Syracuse, N.Y., U.S.A. The author would like to take this opportunity to express his gratitude to the Electronics Laboratory for its support and encouragement in this work. Thanks are in particular due to Mr. J.J. Suran for his continued interest and help. It is impossible to acknowledge all the help the author has re ceived from members of the Laboratory staff. However, the author is par ticularly indebted to Mr. T.C. Robbins for managing the building of the word recognizer (described in Section 7.4) and for many helpful discussions. Thanks are also due to Mr. W.E. Sollecito for valued support and direction, and to S.M. Korzekwa, S.B. Akers, Jr., and B.L. Crew for many discussions on implementation and design of pattern recognizers. Part of the work has been sponsored by two departments of the General Electric Company, the Large Jet Engine Department and the Apollo Support Department. The author is grateful for the permission from the two departments to publish results of theoretical interest in this dissertation. The work was later continued in Denmark, supported by two grants: no.
Book Synopsis Estuarine Perspectives by : Victor S Kennedy
Download or read book Estuarine Perspectives written by Victor S Kennedy and published by Elsevier. This book was released on 2013-10-02 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estuarine Perspectives presents most of the invited papers presented at the Fifth Biennial International Research Conference on Estuarine Research. The book includes information on one tropical and two Arctic estuaries; contemporary techniques as applied to estuarine research; and some hypotheses of estuarine ecology. The text also describes value and management of wetlands as well as the chemical cycles and fluxes. The primary production and photosynthesis; the physical and biological factors of estuarine sediment; and the ecosystem dynamics are also encompassed.
Book Synopsis Special Computer Architectures for Pattern Processing by : King-Sun Fu
Download or read book Special Computer Architectures for Pattern Processing written by King-Sun Fu and published by CRC Press. This book was released on 2018-05-04 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been recognized for a long time that a conventional sequential processor is inefficient for operations on pictorial data where relatively simple operations need to be performed on a large number of data elements (pixels). Though many parallel processing architectures for picture processing have been proposed in the past, very few have actually been implemented due to the costs involved. With LSI technology, it is becoming possible to realize parallel architectures at a modest cost. In the following the authors review some of the proposed architectures for pattern recognition and image processing.
