Editore: Springer Fachmedien Wiesbaden, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Editore: Springer Fachmedien Wiesbaden, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Editore: Springer Fachmedien Wiesbaden, DE, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: New. 2020 ed. Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.
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Editore: Springer Vieweg 2020-02-25, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: Brand New. 160 pages. 8.25x5.75x0.50 inches. In Stock.
Editore: Springer Fachmedien Wiesbaden, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloCondizione: New. Demonstrates that machine learning can be a viable part of the CAD reverse engineering pipelineScientific-technical studyMachine Learning Methods for Parametrization in Curve and Surface Approximation.- Classification of Geometric Primitiv.
Editore: Springer Fachmedien Wiesbaden, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.
Editore: Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Jan 2020, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 180 pp. Englisch.
Editore: Springer Fachmedien Wiesbaden, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces | Pascal Laube | Taschenbuch | xv | Englisch | 2020 | Springer Fachmedien Wiesbaden | EAN 9783658290160 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Editore: Springer Fachmedien Wiesbaden, DE, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: New. 2020 ed. Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 160 pages. 8.25x5.75x0.50 inches. In Stock. This item is printed on demand.
Editore: Springer Fachmedien Wiesbaden Jan 2020, 2020
ISBN 10: 3658290161 ISBN 13: 9783658290160
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline. 180 pp. Englisch.