Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 149,23
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,05
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 156,18
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,04
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 155,28
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EUR 118,61
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Aggiungi al carrelloGebunden. Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 195,39
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 207 pages. 9.50x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 146,98
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, andmachine learning.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 201,68
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 110,26
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Mrz 2018, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning. 228 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 189,82
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Mär 2018, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, andmachine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 190,80
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.