Algorithmic advances in Riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer
[2016]
|
| Schriftenreihe: | Advances in computer vision and pattern recognition
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (XIV, 208 Seiten, 55 illus., 51 illus. in color) |
| ISBN: | 9783319450261 |
| ISSN: | 2191-6586 |
| DOI: | 10.1007/978-3-319-45026-1 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1804176734941085696 |
|---|---|
| any_adam_object | |
| author2 | Minh, Hà Quang Murino, Vittorio 1964- |
| author2_role | edt edt |
| author2_variant | h q m hq hqm v m vm |
| author_GND | (DE-588)1076111998 |
| author_facet | Minh, Hà Quang Murino, Vittorio 1964- |
| building | Verbundindex |
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| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4 |
| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-45026-1 |
| format | Electronic eBook |
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| id | DE-604.BV043857402 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:36:54Z |
| institution | BVB |
| isbn | 9783319450261 |
| issn | 2191-6586 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029267578 |
| oclc_num | 962087313 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-573 DE-M347 DE-703 DE-739 DE-634 |
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| physical | 1 Online-Ressource (XIV, 208 Seiten, 55 illus., 51 illus. in color) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2016 |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series2 | Advances in computer vision and pattern recognition |
| spelling | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization Hà Quang Minh, Vittorio Murino, editors [Cham] Springer [2016] © 2016 1 Online-Ressource (XIV, 208 Seiten, 55 illus., 51 illus. in color) txt rdacontent c rdamedia cr rdacarrier Advances in computer vision and pattern recognition 2191-6586 Computer science Mathematical statistics Artificial intelligence Pattern recognition Computer science / Mathematics Computer mathematics Statistics Computational intelligence Computer Science Pattern Recognition Computational Intelligence Statistics and Computing/Statistics Programs Mathematical Applications in Computer Science Artificial Intelligence (incl. Robotics) Probability and Statistics in Computer Science Informatik Künstliche Intelligenz Mathematik Statistik Minh, Hà Quang edt Murino, Vittorio 1964- (DE-588)1076111998 edt Erscheint auch als Druckausgabe 978-3-319-45025-4 https://doi.org/10.1007/978-3-319-45026-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization Computer science Mathematical statistics Artificial intelligence Pattern recognition Computer science / Mathematics Computer mathematics Statistics Computational intelligence Computer Science Pattern Recognition Computational Intelligence Statistics and Computing/Statistics Programs Mathematical Applications in Computer Science Artificial Intelligence (incl. Robotics) Probability and Statistics in Computer Science Informatik Künstliche Intelligenz Mathematik Statistik |
| title | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization |
| title_auth | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization |
| title_exact_search | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization |
| title_full | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization Hà Quang Minh, Vittorio Murino, editors |
| title_fullStr | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization Hà Quang Minh, Vittorio Murino, editors |
| title_full_unstemmed | Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization Hà Quang Minh, Vittorio Murino, editors |
| title_short | Algorithmic advances in Riemannian geometry and applications |
| title_sort | algorithmic advances in riemannian geometry and applications for machine learning computer vision statistics and optimization |
| title_sub | for machine learning, computer vision, statistics, and optimization |
| topic | Computer science Mathematical statistics Artificial intelligence Pattern recognition Computer science / Mathematics Computer mathematics Statistics Computational intelligence Computer Science Pattern Recognition Computational Intelligence Statistics and Computing/Statistics Programs Mathematical Applications in Computer Science Artificial Intelligence (incl. Robotics) Probability and Statistics in Computer Science Informatik Künstliche Intelligenz Mathematik Statistik |
| topic_facet | Computer science Mathematical statistics Artificial intelligence Pattern recognition Computer science / Mathematics Computer mathematics Statistics Computational intelligence Computer Science Pattern Recognition Computational Intelligence Statistics and Computing/Statistics Programs Mathematical Applications in Computer Science Artificial Intelligence (incl. Robotics) Probability and Statistics in Computer Science Informatik Künstliche Intelligenz Mathematik Statistik |
| url | https://doi.org/10.1007/978-3-319-45026-1 |
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