3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods
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| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021
Cham Springer |
| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | DE-634 DE-1043 DE-1050 DE-92 DE-898 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-19 DE-703 DE-20 DE-706 DE-824 DE-739 URL des Erstveröffentlichers |
| Physical Description: | 1 Online-Ressource (XIV, 146 p. 92 illus., 88 illus. in color) |
| ISBN: | 9783030891800 |
| DOI: | 10.1007/978-3-030-89180-0 |
Staff View
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| author | Liu, Shan Zhang, Min Kadam, Pranav Kuo, C.-C. Jay |
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| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
| doi_str_mv | 10.1007/978-3-030-89180-0 |
| edition | 1st ed. 2021 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:57:17Z |
| indexdate | 2025-02-20T07:03:09Z |
| institution | BVB |
| isbn | 9783030891800 |
| language | English |
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| physical | 1 Online-Ressource (XIV, 146 p. 92 illus., 88 illus. in color) |
| psigel | ZDB-2-SMA ZDB-2-SMA_2021 |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| spellingShingle | Liu, Shan Zhang, Min Kadam, Pranav Kuo, C.-C. Jay 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods Machine Learning Artificial Intelligence Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Machine learning Artificial intelligence Pattern recognition Optical data processing |
| title | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods |
| title_auth | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods |
| title_exact_search | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods |
| title_exact_search_txtP | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods |
| title_full | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods by Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo |
| title_fullStr | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods by Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo |
| title_full_unstemmed | 3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods by Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo |
| title_short | 3D Point Cloud Analysis |
| title_sort | 3d point cloud analysis traditional deep learning and explainable machine learning methods |
| title_sub | Traditional, Deep Learning, and Explainable Machine Learning Methods |
| topic | Machine Learning Artificial Intelligence Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Machine learning Artificial intelligence Pattern recognition Optical data processing |
| topic_facet | Machine Learning Artificial Intelligence Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Machine learning Artificial intelligence Pattern recognition Optical data processing |
| url | https://doi.org/10.1007/978-3-030-89180-0 |
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