Pattern Analysis and Understanding

Pattern Analysis and Understanding PDF Author: Heinrich Niemann
Publisher:
ISBN:
Category : Pattern perception
Languages : en
Pages : 400

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Book Description

Pattern Analysis and Understanding

Pattern Analysis and Understanding PDF Author: Heinrich Niemann
Publisher:
ISBN:
Category : Pattern perception
Languages : en
Pages : 400

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Book Description


Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding PDF Author: Siddhartha Bhattacharyya
Publisher: CRC Press
ISBN: 1351650203
Category : Computers
Languages : en
Pages : 502

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Book Description
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Pattern Analysis

Pattern Analysis PDF Author: H. Niemann
Publisher: Springer Science & Business Media
ISBN: 3642966500
Category : Computers
Languages : en
Pages : 316

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Book Description
This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.

Pattern Analysis and Understanding

Pattern Analysis and Understanding PDF Author: Heinrich Niemann
Publisher: Springer Science & Business Media
ISBN: 3642748996
Category : Science
Languages : en
Pages : 384

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Book Description
In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter. Chapter 3 has been expanded significantly by topics like motion, depth, and shape from shading; additional material has also been added to the already existing sections of this chapter. The old sections of Chap. 4 have been reorganized, a general view of the classification problem has been added and material provided to incorporate techniques of word and object recognition and to give a short account of some types of neural nets. Almost no changes have been made in Chap. 5. The part on representation of control structures in Chap. 6 has been shortened, a section on the judgement of results has been added. Chapter 7 has been rewritten almost completely; the section on formal grammars has been reduced, the sections on production systems, semantic networks, and knowledge acquisition have been expanded, and sections on logic and explanation added. The old Chaps. 8 and 9 have been omitted. In summary, the new edition is a thorough revision and extensive update of the first one taking into account the progress in the field during recent years.

Analysis Patterns

Analysis Patterns PDF Author: Martin Fowler
Publisher: Addison-Wesley Professional
ISBN: 9780201895421
Category : Object-oriented methods (Computer science).
Languages : en
Pages : 398

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Book Description
Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.

Kernel Methods for Pattern Analysis

Kernel Methods for Pattern Analysis PDF Author: John Shawe-Taylor
Publisher: Cambridge University Press
ISBN: 9780521813976
Category : Computers
Languages : en
Pages : 520

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Book Description
Publisher Description

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding PDF Author: Siddhartha Bhattacharyya
Publisher: CRC Press
ISBN: 1498769373
Category : Computers
Languages : en
Pages : 393

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Book Description
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning PDF Author: Christopher M. Bishop
Publisher: Springer
ISBN: 9781493938438
Category : Computers
Languages : en
Pages : 0

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Book Description
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Understanding Pattern Analysis

Understanding Pattern Analysis PDF Author: Mangesh Ghonge
Publisher: Nova Science Publishers
ISBN: 9781685077778
Category : Computers
Languages : en
Pages : 0

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Book Description
"Understanding Pattern Analysis provides an overview of the most recent research on the creation and application of synergistic approaches to pattern analysis in real-world contexts. This book discusses a variety of hybrid intelligence strategies, including application of pattern analysis to astrobiology, pattern analysis for predictive systems of modern agriculture practices, cognitive pattern recognition, cognition of 5G network toward digital healthcare for smart cities and object detection for autonomous vehicles"--

Computational Intelligence and Pattern Analysis in Biology Informatics

Computational Intelligence and Pattern Analysis in Biology Informatics PDF Author: Ujjwal Maulik
Publisher: John Wiley & Sons
ISBN: 1118097807
Category : Medical
Languages : en
Pages : 552

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Book Description
An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.