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Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2018
ISBN 10: 9811073015 ISBN 13: 9789811073014
Da: Revaluation Books, Exeter, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 92, Map.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Nov 2017, 2017
ISBN 10: 9811073015 ISBN 13: 9789811073014
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017.The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detectionSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 648 pp. Englisch.
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 88 pages. 8.90x6.00x0.30 inches. In Stock.
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Da: California Books, Miami, FL, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811073015 ISBN 13: 9789811073014
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 60,48
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 111,89
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Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 100,51
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Aggiungi al carrelloPaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: California Books, Miami, FL, U.S.A.
EUR 133,81
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Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2011, 2011
ISBN 10: 3642217192 ISBN 13: 9783642217197
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 74,89
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2011
ISBN 10: 3642217192 ISBN 13: 9783642217197
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 74,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.
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