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Classification, parameter estimation and state estimation (Record no. 559464)

MARC details
000 -LEADER
fixed length control field 02901 a2200265 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119152439
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 681.2
Item number C569p2
245 ## - TITLE STATEMENT
Title Classification, parameter estimation and state estimation
Remainder of title an engineering approach using MATLAB
Statement of responsibility, etc Bangjun Lei ... [et. al.]
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Wiley
Year of publication 2017
Place of publication New Jersey
300 ## - PHYSICAL DESCRIPTION
Number of Pages xv, 464p
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Numerical analysis -- Computer programs
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Parameter estimation -- Data processing
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lei, Bangjun
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Xu, Guangzhu
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Feng, Ming
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zou, Yaobin
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Heijden, Ferdinand van der
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ridder, Dick de
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tax, David M. J.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 12/10/2018 58 7479.68 681.2 C569p2 A183911 9349.60 Books

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