Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality):
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
München
Fogra
September 2022
|
| Schriftenreihe: | Forschungsgesellschaft Druck: Fogra-Forschungsbericht
13.004 |
| Beschreibung: | 54 Seiten Illustrationen 30 cm |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV049920857 | ||
| 003 | DE-604 | ||
| 007 | t| | ||
| 008 | 241023s2022 gw a||| |||| 00||| ger d | ||
| 020 | |c Broschur | ||
| 035 | |a (OCoLC)1350664632 | ||
| 035 | |a (DE-599)BVBBV049920857 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a ger | |
| 044 | |a gw |c XA-DE | ||
| 049 | |a DE-91 | ||
| 084 | |8 1\p |a 004 |2 23sdnb | ||
| 100 | 1 | |a Wimmer, Martin |e Verfasser |0 (DE-588)1274016452 |4 aut | |
| 245 | 1 | 0 | |a Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) |c Martin Wimmer (Fogra), Dieter Geller (RWTH Aachen), Julie Klein (Fogra), Andreas Kraushaar (Fogra), Dorit Merhof (RWTH Aachen) |
| 264 | 1 | |a München |b Fogra |c September 2022 | |
| 300 | |a 54 Seiten |b Illustrationen |c 30 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Forschungsgesellschaft Druck: Fogra-Forschungsbericht |v 13.004 | |
| 830 | 0 | |a Forschungsgesellschaft Druck: Fogra-Forschungsbericht |v 13.004 |w (DE-604)BV009533906 |9 13.004 | |
| 883 | 2 | |8 1\p |a dnb |d 20230802 |q DE-101 |u https://d-nb.info/provenance/plan#dnb | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035259434 | |
Datensatz im Suchindex
| _version_ | 1817704222510022656 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Wimmer, Martin |
| author_GND | (DE-588)1274016452 |
| author_facet | Wimmer, Martin |
| author_role | aut |
| author_sort | Wimmer, Martin |
| author_variant | m w mw |
| building | Verbundindex |
| bvnumber | BV049920857 |
| ctrlnum | (OCoLC)1350664632 (DE-599)BVBBV049920857 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 cb4500</leader><controlfield tag="001">BV049920857</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">241023s2022 gw a||| |||| 00||| ger d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="c">Broschur</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1350664632</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049920857</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">ger</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">004</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wimmer, Martin</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1274016452</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality)</subfield><subfield code="c">Martin Wimmer (Fogra), Dieter Geller (RWTH Aachen), Julie Klein (Fogra), Andreas Kraushaar (Fogra), Dorit Merhof (RWTH Aachen)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München</subfield><subfield code="b">Fogra</subfield><subfield code="c">September 2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">54 Seiten</subfield><subfield code="b">Illustrationen</subfield><subfield code="c">30 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Forschungsgesellschaft Druck: Fogra-Forschungsbericht</subfield><subfield code="v">13.004</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Forschungsgesellschaft Druck: Fogra-Forschungsbericht</subfield><subfield code="v">13.004</subfield><subfield code="w">(DE-604)BV009533906</subfield><subfield code="9">13.004</subfield></datafield><datafield tag="883" ind1="2" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">dnb</subfield><subfield code="d">20230802</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#dnb</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035259434</subfield></datafield></record></collection> |
| id | DE-604.BV049920857 |
| illustrated | Illustrated |
| indexdate | 2024-12-06T15:10:31Z |
| institution | BVB |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035259434 |
| oclc_num | 1350664632 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 54 Seiten Illustrationen 30 cm |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Fogra |
| record_format | marc |
| series | Forschungsgesellschaft Druck: Fogra-Forschungsbericht |
| series2 | Forschungsgesellschaft Druck: Fogra-Forschungsbericht |
| spelling | Wimmer, Martin Verfasser (DE-588)1274016452 aut Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) Martin Wimmer (Fogra), Dieter Geller (RWTH Aachen), Julie Klein (Fogra), Andreas Kraushaar (Fogra), Dorit Merhof (RWTH Aachen) München Fogra September 2022 54 Seiten Illustrationen 30 cm txt rdacontent n rdamedia nc rdacarrier Forschungsgesellschaft Druck: Fogra-Forschungsbericht 13.004 Forschungsgesellschaft Druck: Fogra-Forschungsbericht 13.004 (DE-604)BV009533906 13.004 1\p dnb 20230802 DE-101 https://d-nb.info/provenance/plan#dnb |
| spellingShingle | Wimmer, Martin Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) Forschungsgesellschaft Druck: Fogra-Forschungsbericht |
| title | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) |
| title_auth | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) |
| title_exact_search | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) |
| title_full | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) Martin Wimmer (Fogra), Dieter Geller (RWTH Aachen), Julie Klein (Fogra), Andreas Kraushaar (Fogra), Dorit Merhof (RWTH Aachen) |
| title_fullStr | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) Martin Wimmer (Fogra), Dieter Geller (RWTH Aachen), Julie Klein (Fogra), Andreas Kraushaar (Fogra), Dorit Merhof (RWTH Aachen) |
| title_full_unstemmed | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) Martin Wimmer (Fogra), Dieter Geller (RWTH Aachen), Julie Klein (Fogra), Andreas Kraushaar (Fogra), Dorit Merhof (RWTH Aachen) |
| title_short | Machine Learning Framework zur dynamischen Entscheidung von Bildqualitatskriterien (DeepQuality) |
| title_sort | machine learning framework zur dynamischen entscheidung von bildqualitatskriterien deepquality |
| volume_link | (DE-604)BV009533906 |
| work_keys_str_mv | AT wimmermartin machinelearningframeworkzurdynamischenentscheidungvonbildqualitatskriteriendeepquality |