Deep learning through sparse and low-rank modeling:
Gespeichert in:
Weitere beteiligte Personen: | , , |
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Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States ; Oxford, United Kingdom
Academic Press, an imprint of Elsevier
[2019]
|
Schriftenreihe: | Computer vision and pattern recognition series
|
Schlagwörter: | |
Umfang: | xvii, 277 Seiten Illustrationen, Diagramme |
ISBN: | 0128136596 9780128136591 |
Internformat
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700 | 1 | |a Huang, Thomas S. |4 edt | |
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Datensatz im Suchindex
DE-BY-TUM_call_number | 0102 DAT 708f 2019 A 2272 |
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DE-BY-TUM_katkey | 2350459 |
DE-BY-TUM_location | 01 |
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adam_text | |
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author2 | Wang, Zhangyang Fu, Yun Huang, Thomas S. |
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genre_facet | Aufsatzsammlung |
id | DE-604.BV045110847 |
illustrated | Illustrated |
indexdate | 2025-02-13T07:00:22Z |
institution | BVB |
isbn | 0128136596 9780128136591 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030501188 |
oclc_num | 1101129891 |
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owner_facet | DE-91G DE-BY-TUM DE-20 DE-92 DE-898 DE-BY-UBR |
physical | xvii, 277 Seiten Illustrationen, Diagramme |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Academic Press, an imprint of Elsevier |
record_format | marc |
series2 | Computer vision and pattern recognition series |
spellingShingle | Deep learning through sparse and low-rank modeling Deep Learning (DE-588)1135597375 gnd |
subject_GND | (DE-588)1135597375 (DE-588)4143413-4 |
title | Deep learning through sparse and low-rank modeling |
title_auth | Deep learning through sparse and low-rank modeling |
title_exact_search | Deep learning through sparse and low-rank modeling |
title_full | Deep learning through sparse and low-rank modeling edited by Zhangyang Wang (Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States), Yun Fu (Department of Electrical and Computer Engineering and College of Computer and Information Science (Affiliated), Northeastern University, Boston, MA, United States), Thomas S. Huang (Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States) |
title_fullStr | Deep learning through sparse and low-rank modeling edited by Zhangyang Wang (Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States), Yun Fu (Department of Electrical and Computer Engineering and College of Computer and Information Science (Affiliated), Northeastern University, Boston, MA, United States), Thomas S. Huang (Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States) |
title_full_unstemmed | Deep learning through sparse and low-rank modeling edited by Zhangyang Wang (Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States), Yun Fu (Department of Electrical and Computer Engineering and College of Computer and Information Science (Affiliated), Northeastern University, Boston, MA, United States), Thomas S. Huang (Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States) |
title_short | Deep learning through sparse and low-rank modeling |
title_sort | deep learning through sparse and low rank modeling |
topic | Deep Learning (DE-588)1135597375 gnd |
topic_facet | Deep Learning Aufsatzsammlung |
work_keys_str_mv | AT wangzhangyang deeplearningthroughsparseandlowrankmodeling AT fuyun deeplearningthroughsparseandlowrankmodeling AT huangthomass deeplearningthroughsparseandlowrankmodeling |
Paper/Kapitel scannen lassen
Teilbibliothek Mathematik & Informatik
Signatur: |
0102 DAT 708f 2019 A 2272 Lageplan |
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Exemplar 1 | Ausleihbar Am Standort |