Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 139,90
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 139,89
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 155,12
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer Nature Singapore, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Librería: moluna, Greven, Alemania
EUR 118,61
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Añadir al carritoGebunden. Condición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 182,95
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 193,47
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 207 pages. 9.50x6.25x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 146,98
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Añadir al carritoBuch. Condición: 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.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 201,45
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 110,26
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer Nature Singapore Mrz 2018, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 139,09
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Añadir al carritoBuch. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 190,64
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore Mär 2018, 2018
ISBN 10: 981106170X ISBN 13: 9789811061707
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 190,80
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.