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You searched IISERK - Title: Prentice Hall molecular model set for general and organic chemistry [model].
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Call Number
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006.4/2/0151954
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Author
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Kanatani, Kenʼichi, 1947-
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Title
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Statistical optimization for geometric computation [electronic resource] : theory and practice / Kenichi Kanatani.
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Publication
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Amsterdam ; New York : Elsevier, 1996.
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Material Info.
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xiv, 509 p. : ill. ; 23 cm.
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Series
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Machine intelligence and pattern recognition ; v. 18
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Summary Note
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This book discusses mathematical foundations of statistical inference for building a 3-D model of the environment from image and sensor data that contain noise - a central task for autonomous robots guided by video cameras and sensors. A theoretical accuracy bound is derived for the optimization procedure for maximizing the reliability of the estimation based on noisy data, and practical computational schemes that attain that bound are derived. Many synthetic and real data examples are given to demonstrate that conventional methods are not optimal and how accuracy improves if truly optimal methods are employed.<P>Institutions to benefit from this book include, University departments related to computer science, information processing, image processing, robotics and mechatronics, governmental research organizations for computer-related advanced technology and corporate laboratories of computer and electronic industries.
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Notes
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Includes bibliographical references (p. 485-499) and index.
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Notes
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Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007.
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ISBN
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9780444824271
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ISBN
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0444824278
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Subject
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Robotics.
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Subject
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Computer vision.
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Subject
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Mathematical statistics.
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Subject
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Multivariate analyse.
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Subject
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Automatisering.
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Subject
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Patroonherkenning.
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Subject
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Robotica.
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Subject
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Optimaliseren.
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Subject
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Electronic books.
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Added Entry
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ScienceDirect (Online service)
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Date
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Year, Month, Day:01405141
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Link
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An electronic book accessible through the World Wide Web; click for information ScienceDirect
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