Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2018]
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| Schriftenreihe: | Springer Theses, Recognizing Outstanding Ph.D. Research
|
| Schlagworte: | |
| Online-Zugang: | TUM01 UBM01 UBT01 UER01 Volltext |
| Beschreibung: | 1 Online-Ressource (XXII, 171 p. 68 illus., 8 illus. in color) |
| ISBN: | 9783319910536 |
| DOI: | 10.1007/978-3-319-91053-6 |
Internformat
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| 245 | 1 | 0 | |a Application of FPGA to Real‐Time Machine Learning |b Hardware Reservoir Computers and Software Image Processing |c Piotr Antonik |
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| 650 | 4 | |a Image processing | |
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| 650 | 4 | |a Physics | |
| 650 | 4 | |a Optics, Lasers, Photonics, Optical Devices | |
| 650 | 4 | |a Image Processing and Computer Vision | |
| 650 | 4 | |a Computational Intelligence | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Antonik, Piotr |
| author_facet | Antonik, Piotr |
| author_role | aut |
| author_sort | Antonik, Piotr |
| author_variant | p a pa |
| building | Verbundindex |
| bvnumber | BV044979373 |
| classification_tum | PHY 000 |
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| ctrlnum | (ZDB-2-PHA)9783319910536 (OCoLC)1039818570 (DE-599)BVBBV044979373 |
| dewey-full | 621.36 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.36 |
| dewey-search | 621.36 |
| dewey-sort | 3621.36 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Physik Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-3-319-91053-6 |
| format | Thesis Electronic eBook |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV044979373 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:06:14Z |
| institution | BVB |
| isbn | 9783319910536 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030371766 |
| oclc_num | 1039818570 |
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| physical | 1 Online-Ressource (XXII, 171 p. 68 illus., 8 illus. in color) |
| psigel | ZDB-2-PHA ZDB-2-PHA_2018 |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer Theses, Recognizing Outstanding Ph.D. Research |
| spelling | Antonik, Piotr Verfasser aut Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing Piotr Antonik Cham Springer [2018] 1 Online-Ressource (XXII, 171 p. 68 illus., 8 illus. in color) txt rdacontent c rdamedia cr rdacarrier Springer Theses, Recognizing Outstanding Ph.D. Research Dissertation Université libre de Bruxelles, Brussels, Belgium Physics Artificial intelligence Image processing Computational intelligence Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Computational Intelligence Artificial Intelligence (incl. Robotics) (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Druck-Ausgabe 978-3-319-91052-9 https://doi.org/10.1007/978-3-319-91053-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Antonik, Piotr Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing Physics Artificial intelligence Image processing Computational intelligence Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Computational Intelligence Artificial Intelligence (incl. Robotics) |
| subject_GND | (DE-588)4113937-9 |
| title | Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing |
| title_auth | Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing |
| title_exact_search | Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing |
| title_full | Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing Piotr Antonik |
| title_fullStr | Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing Piotr Antonik |
| title_full_unstemmed | Application of FPGA to Real‐Time Machine Learning Hardware Reservoir Computers and Software Image Processing Piotr Antonik |
| title_short | Application of FPGA to Real‐Time Machine Learning |
| title_sort | application of fpga to real time machine learning hardware reservoir computers and software image processing |
| title_sub | Hardware Reservoir Computers and Software Image Processing |
| topic | Physics Artificial intelligence Image processing Computational intelligence Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Computational Intelligence Artificial Intelligence (incl. Robotics) |
| topic_facet | Physics Artificial intelligence Image processing Computational intelligence Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Computational Intelligence Artificial Intelligence (incl. Robotics) Hochschulschrift |
| url | https://doi.org/10.1007/978-3-319-91053-6 |
| work_keys_str_mv | AT antonikpiotr applicationoffpgatorealtimemachinelearninghardwarereservoircomputersandsoftwareimageprocessing |