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You searched IISERK - Title: Prentice Hall molecular model set for general and organic chemistry [model].
Tag In 1 In 2 Data
001  vtls000012221
003  IISER-K
005  20140514150300.0
006  m d
007  cr cn|||||||||
008  090617s1996 ne a sb 001 0 eng d
020  \a 9780444824271
020  \a 0444824278
037  \a 120751:126742 \b Elsevier Science & Technology \n http://www.sciencedirect.com
039 9\a 201405141503 \b VLOAD \y 200906171859 \z VLOAD
049  \a TEFA
08204\a 006.4/2/0151954 \2 22
1001 \a Kanatani, Kenʼichi, \d 1947-
24510\a Statistical optimization for geometric computation \h [electronic resource] : \b theory and practice / \c Kenichi Kanatani.
260  \a Amsterdam ; \a New York : \b Elsevier, \c 1996.
300  \a xiv, 509 p. : \b ill. ; \c 23 cm.
440 0\a Machine intelligence and pattern recognition ; \v v. 18
504  \a Includes bibliographical references (p. 485-499) and index.
520  \a 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.
533  \a Electronic reproduction. \b Amsterdam : \c Elsevier Science & Technology, \d 2007. \n Mode of access: World Wide Web. \n System requirements: Web browser. \n Title from title screen (viewed on July 25, 2007). \n Access may be restricted to users at subscribing institutions.
650 0\a Robotics.
650 0\a Computer vision.
650 0\a Mathematical statistics.
65017\a Multivariate analyse. \2 gtt
65017\a Automatisering. \2 gtt
65017\a Patroonherkenning. \2 gtt
65017\a Robotica. \2 gtt
65017\a Optimaliseren. \2 gtt
655 7\a Electronic books. \2 local
7102 \a ScienceDirect (Online service)
7761 \c Original \z 0444824278 \z 9780444824271 \w (DLC) 96000207 \w (OCoLC)34115237
85640\3 ScienceDirect \u http://www.sciencedirect.com/science/publication?issn=09230459&volume=18 \z An electronic book accessible through the World Wide Web; click for information \y An electronic book accessible through the World Wide Web; click for information \y ScienceDirect

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