Classification Parameter Estimation And State Estimation

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Classification, Parameter Estimation and State Estimation

Author : Bangjun Lei,Guangzhu Xu,Ming Feng,Yaobin Zou,Ferdinand van der Heijden,Dick de Ridder,David M. J. Tax
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 48,9 Mb
Release : 2017-03-17
Category : Science
ISBN : 9781119152453

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Classification, Parameter Estimation and State Estimation by Bangjun Lei,Guangzhu Xu,Ming Feng,Yaobin Zou,Ferdinand van der Heijden,Dick de Ridder,David M. J. Tax Pdf

A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods—especially among adaboost varieties and particle filtering methods—have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and extensively revised, this 2nd Edition of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk you through the basics of computer vision, past and present, and they explore the more subtle intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, they explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including: PRTools5 software for MATLAB—especially the latest representation and generalization software toolbox for PRTools5 Machine learning applications for computer vision, with detailed discussions of contemporary state estimation techniques vs older content of particle filter methods The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods All new coverage of the Adaboost and its implementation in PRTools5. A valuable working resource for professionals and an excellent introduction for advanced-level students, this 2nd Edition features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. Additional examples and tutorials, as well as a question and solution forum, can be found on a companion website.

Classification, Parameter Estimation and State Estimation

Author : Bangjun Lei,Guangzhu Xu,Ming Feng,Yaobin Zou,Ferdinand van der Heijden,Dick de Ridder,David M. J. Tax
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 54,8 Mb
Release : 2017-03-03
Category : Science
ISBN : 9781119152446

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Classification, Parameter Estimation and State Estimation by Bangjun Lei,Guangzhu Xu,Ming Feng,Yaobin Zou,Ferdinand van der Heijden,Dick de Ridder,David M. J. Tax Pdf

A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods—especially among adaboost varieties and particle filtering methods—have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and extensively revised, this 2nd Edition of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk you through the basics of computer vision, past and present, and they explore the more subtle intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, they explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including: PRTools5 software for MATLAB—especially the latest representation and generalization software toolbox for PRTools5 Machine learning applications for computer vision, with detailed discussions of contemporary state estimation techniques vs older content of particle filter methods The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods All new coverage of the Adaboost and its implementation in PRTools5. A valuable working resource for professionals and an excellent introduction for advanced-level students, this 2nd Edition features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. Additional examples and tutorials, as well as a question and solution forum, can be found on a companion website.

Classification, Parameter Estimation and State Estimation

Author : Ferdinand van der Heijden,Robert P. Duin,Dick de Ridder,David M. J. Tax
Publisher : John Wiley & Sons
Page : 440 pages
File Size : 55,9 Mb
Release : 2005-06-10
Category : Science
ISBN : 9780470090145

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Classification, Parameter Estimation and State Estimation by Ferdinand van der Heijden,Robert P. Duin,Dick de Ridder,David M. J. Tax Pdf

Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology. After an introductory chapter, the book provides the theoretical construction for classification, estimation and state estimation. The book also deals with the skills required to bring the theoretical concepts to practical systems, and how to evaluate these systems. Together with the many examples in the chapters, the book is accompanied by a MATLAB toolbox for pattern recognition and classification. The appendix provides the necessary documentation for this toolbox as well as an overview of the most useful functions from these toolboxes. With its integrated and unified approach to classification, parameter estimation and state estimation, this book is a suitable practical supplement in existing university courses in pattern classification, optimal estimation and data analysis. Covers all contemporary main methods for classification and estimation. Integrated approach to classification, parameter estimation and state estimation Highlights the practical deployment of theoretical issues. Provides a concise and practical approach supported by MATLAB toolbox. Offers exercises at the end of each chapter and numerous worked out examples. PRtools toolbox (MATLAB) and code of worked out examples available from the internet Many examples showing implementations in MATLAB Enables students to practice their skills using a MATLAB environment

System Identification

Author : Pieter Eykhoff
Publisher : Unknown
Page : 555 pages
File Size : 52,9 Mb
Release : 1979
Category : Electronic
ISBN : OCLC:265841160

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System Identification by Pieter Eykhoff Pdf

System Identification Parameter and State Estimation

Author : P. Eykhoff
Publisher : Chichester ; New York : Wiley
Page : 584 pages
File Size : 47,9 Mb
Release : 1974-05-23
Category : Technology & Engineering
ISBN : UOM:39076006349018

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System Identification Parameter and State Estimation by P. Eykhoff Pdf

Applied State Estimation and Association

Author : Chaw-Bing Chang,Keh-Ping Dunn
Publisher : MIT Press
Page : 473 pages
File Size : 45,5 Mb
Release : 2023-08-15
Category : Technology & Engineering
ISBN : 9780262548915

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Applied State Estimation and Association by Chaw-Bing Chang,Keh-Ping Dunn Pdf

A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries. Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous introduction to both theory and application of state estimation and association. It takes a unified approach to problem formulation and solution development that helps students and junior engineers build a sound theoretical foundation for their work and develop skills and tools for practical applications. Chapters 1 through 6 focus on solving the problem of estimation with a single sensor observing a single object, and cover such topics as parameter estimation, state estimation for linear and nonlinear systems, and multiple model estimation algorithms. Chapters 7 through 10 expand the discussion to consider multiple sensors and multiple objects. The book can be used in a first-year graduate course in control or system engineering or as a reference for professionals. Each chapter ends with problems that will help readers to develop derivation skills that can be applied to new problems and to build computer models that offer a useful set of tools for problem solving. Readers must be familiar with state-variable representation of systems and basic probability theory including random and stochastic processes.

Power System State Estimation

Author : Ali Abur,Antonio Gómez Expósito
Publisher : CRC Press
Page : 350 pages
File Size : 41,8 Mb
Release : 2004-03-24
Category : Technology & Engineering
ISBN : 0203913671

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Power System State Estimation by Ali Abur,Antonio Gómez Expósito Pdf

Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management. It uses an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. Includes numerous tutorial examples that fully analyze problems posed by the inclusion of current measurements in existing state estimators and illustrate practical solutions to these challenges. Written by two expert researchers in the field, Power System State Estimation extensively details topics never before covered in depth in any other text, including novel robust state estimation methods, estimation of parameter and topology errors, and the use of ampere measurements for state estimation. It introduces various methods and computational issues involved in the formulation and implementation of the weighted least squares (WLS) approach, presents statistical tests for the detection and identification of bad data in system measurements, and reveals alternative topological and numerical formulations for the network observability problem.

Stochastic Systems and State Estimation

Author : Terrence P. McGarty
Publisher : Wiley-Interscience
Page : 426 pages
File Size : 47,9 Mb
Release : 1974
Category : Mathematics
ISBN : UOM:39015000980857

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Stochastic Systems and State Estimation by Terrence P. McGarty Pdf

Parameter Estimation in Reliability and Life Span Models

Author : Cohen
Publisher : CRC Press
Page : 422 pages
File Size : 41,5 Mb
Release : 1988-09-13
Category : Mathematics
ISBN : 0824779800

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Parameter Estimation in Reliability and Life Span Models by Cohen Pdf

Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily. Anno

Measurement Data Modeling and Parameter Estimation

Author : Zhengming Wang,Dongyun Yi,Xiaojun Duan,Jing Yao,Defeng Gu
Publisher : CRC Press
Page : 540 pages
File Size : 44,6 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439853795

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Measurement Data Modeling and Parameter Estimation by Zhengming Wang,Dongyun Yi,Xiaojun Duan,Jing Yao,Defeng Gu Pdf

This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks to build a bridge between mathematical theory and engineering practice in the measurement data processing field so theoretical researchers and technical engineers can communicate. It is organized with abundant materials, such as illustrations, tables, examples, and exercises. The authors create examples to apply mathematical theory innovatively to measurement and control engineering. Not only does this reference provide theoretical knowledge, it provides information on first hand experiences.

Nonlinear Estimation and Classification

Author : David D. Denison,Mark H. Hansen,Christopher C. Holmes,Bani Mallick,Bin Yu
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 55,8 Mb
Release : 2013-11-11
Category : Mathematics
ISBN : 9780387215792

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Nonlinear Estimation and Classification by David D. Denison,Mark H. Hansen,Christopher C. Holmes,Bani Mallick,Bin Yu Pdf

Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.

State Estimation for Robotics

Author : Timothy D. Barfoot
Publisher : Cambridge University Press
Page : 381 pages
File Size : 54,8 Mb
Release : 2017-07-31
Category : Computers
ISBN : 9781107159396

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State Estimation for Robotics by Timothy D. Barfoot Pdf

A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.

Identification and System Parameter Estimation

Author : Pieter Eykhoff
Publisher : Unknown
Page : 568 pages
File Size : 49,8 Mb
Release : 1973
Category : Automatic control
ISBN : STANFORD:36105000613534

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Identification and System Parameter Estimation by Pieter Eykhoff Pdf