3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu, ... [et al.] |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xiv, 146 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T45 - Machine vision and scene understanding [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
Soggetto non controllato |
3D computer vision
3D object detection 3D object recognition Deep Learning Explainable machine learning Machine learning ModelNet40 Point cloud analysis Point cloud classification Point cloud part segmentation Point cloud registration PointHop R-PointHop Saab transform ShapeNet Successive subspace learning Unsupervised learning |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274505 |
Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistical learning : with applications in R / Gareth James ... [et al.] |
Edizione | [2. ed] |
Pubbl/distr/stampa | New York, : Springer, 2021 |
Descrizione fisica | xv, 607 p. : ill. ; 25 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] |
Soggetto non controllato |
Data Mining
Inference R software Statistical learning Supervised learning Unsupervised learning |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0275551 |
New York, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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