Evolutionary Synthesis Of Pattern Recognition Systems

Author : Bir Bhanu
Publisher : Springer Science & Business Media
ISBN 13 : 0387244522
Total Pages : 314 pages
Book Rating : 4.25/5 ( download)

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Download or read book Evolutionary Synthesis of Pattern Recognition Systems written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology

Author : Bir Bhanu
Publisher : Springer
ISBN 13 : 9780387501130
Total Pages : 0 pages
Book Rating : 4.34/5 ( download)

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Download or read book Evolutionary Synthesis of Pattern Recognition Systems written by Bir Bhanu and published by Springer. This book was released on 2008-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology

Author : Erik Cuevas
Publisher : Springer
ISBN 13 : 3319264621
Total Pages : 284 pages
Book Rating : 4.22/5 ( download)

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Download or read book Applications of Evolutionary Computation in Image Processing and Pattern Recognition written by Erik Cuevas and published by Springer. This book was released on 2015-11-07 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding of the field and, in conducting studies on specific evolutionary techniques that are related to applications in image processing and pattern recognition. It explains the basic ideas of the proposed applications in a way that can also be understood by readers outside of the field. Image processing and pattern recognition practitioners who are not evolutionary computation researchers will appreciate the discussed techniques beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise on such areas. On the other hand, members of the evolutionary computation community can learn the way in which image processing and pattern recognition problems can be translated into an optimization task. The book has been structured so that each chapter can be read independently from the others. It can serve as reference book for students and researchers with basic knowledge in image processing and EC methods.

Author :
Publisher :
ISBN 13 :
Total Pages : 112 pages
Book Rating : 4.80/5 ( download)

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Download or read book HELPR: Hybrid Evolutionary Learning for Pattern Recognition written by and published by . This book was released on 2005 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of inexpensive sensors coupled with the rise of the internet has led to a rapid expansion in the amount of data available for analysis. Although there are a myriad of uses for this data, one of the most common applications is pattern recognition. The traditional approach to creating pattern recognition systems is human intensive requiring experts with training in pattern recognition to collaborate with experts who have knowledge of the problem domain to develop a custom recognition system for a specific problem. In contrast, the HELPR software architecture has focused on the design and implementation of software tools and techniques that use evolutionary computation to synthesize target systems from raw data, thereby reducing the personnel requirements and time needed to deploy new recognition systems. Result produce by ATR systems evolved using HELPR are reported for a variety of tasks involving HRR, SAR, E3D, and image processing.

Author : Bir Bhanu
Publisher : Springer
ISBN 13 : 9780387501130
Total Pages : 296 pages
Book Rating : 4.34/5 ( download)

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Download or read book Evolutionary Synthesis of Pattern Recognition Systems written by Bir Bhanu and published by Springer. This book was released on 2008-11-01 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology

Author : Sankar K. Pal
Publisher : World Scientific
ISBN 13 : 9789812386533
Total Pages : 644 pages
Book Rating : 4.3X/5 ( download)

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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 644 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. Contents: Pattern Recognition: Evolution of Methodologies and Data Mining (A Pal & S K Pal); Adaptive Stochastic Algorithms for Pattern Classification (M A L Thathachar & P S Sastry); Shape in Images (K V Mardia); Decision Trees for Classification: A Review and Some New Results (R Kothari & M Dong); Syntactic Pattern Recognition (A K Majumder & A K Ray); Fuzzy Sets as a Logic Canvas for Pattern Recognition (W Pedrycz & N Pizzi); Neural Network Based Pattern Recognition (V David Sanchez A); Networks of Spiking Neurons in Data Mining (K Cios & D M Sala); Genetic Algorithms, Pattern Classification and Neural Networks Design (S Bandyopadhyay et al.); Rough Sets in Pattern Recognition (A Skowron & R Swiniarski); Automated Generation of Qualitative Representations of Complex Objects by Hybrid Soft-Computing Methods (E H Ruspini & I S Zwir); Writing Speed and Writing Sequence Invariant On-line Handwriting Recognition (S-H Cha & S N Srihari); Tongue Diagnosis Based on Biometric Pattern Recognition Technology (K Wang et al.); and other papers. Readership: Graduate students, researchers and academics in pattern recognition.

Author : Svetlana N Yanushkevich
Publisher : World Scientific
ISBN 13 : 9814477362
Total Pages : 453 pages
Book Rating : 4.69/5 ( download)

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Download or read book Image Pattern Recognition: Synthesis And Analysis In Biometrics written by Svetlana N Yanushkevich and published by World Scientific. This book was released on 2007-05-07 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual.The other side of the biometrics coin is biometric synthesis — rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions.This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies — human identification by analysis of biometric data — is extended to include the new discipline of biometric synthesis.

Author : Edmund K. Burke
Publisher : Springer Science & Business Media
ISBN 13 : 1461469406
Total Pages : 715 pages
Book Rating : 4.07/5 ( download)

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Download or read book Search Methodologies written by Edmund K. Burke and published by Springer Science & Business Media. This book was released on 2013-10-18 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. “As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book’s subtitle, “Introductory Tutorials in Optimization and Decision Support Techniques”, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described.” Fred Glover, Leeds School of Business, University of Colorado Boulder, USA “[The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular.” Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences

Author : Sameer Singh
Publisher : Springer Science & Business Media
ISBN 13 : 9781846289446
Total Pages : 268 pages
Book Rating : 4.40/5 ( download)

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Download or read book Progress in Pattern Recognition written by Sameer Singh and published by Springer Science & Business Media. This book was released on 2007-08-03 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of articles presented at the 2007 Workshop on Advances in Pattern Recognition, which was organized in conjunction with the 5th International Summer School on Pattern Recognition. It provides readers with the state-of-the-art algorithms in the area of pattern recognition as well as a presentation of the cutting edge applications within the field.

Author : Clark Allan Heydon
Publisher : Springer Science & Business Media
ISBN 13 : 0387308520
Total Pages : 262 pages
Book Rating : 4.24/5 ( download)

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Download or read book Software Configuration Management Using Vesta written by Clark Allan Heydon and published by Springer Science & Business Media. This book was released on 2010-06-07 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps in the development of large software projects. Uses a well-known open-source software prototype system (Vesta developed at Digital and Compaq Systems Research Lab).