Discovering unknown visual objects with novelty detection techniques:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
München
Verlag Dr. Hut
2018
|
Ausgabe: | 1. Auflage |
Schriftenreihe: | Informatik
|
Schlagworte: | |
Beschreibung: | xiii, 473 Seiten Illustrationen, Diagramme |
ISBN: | 9783843935463 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV044925117 | ||
003 | DE-604 | ||
005 | 20190107 | ||
007 | t | ||
008 | 180430s2018 a||| m||| 00||| eng d | ||
020 | |a 9783843935463 |9 978-3-8439-3546-3 | ||
035 | |a (OCoLC)1039174219 | ||
035 | |a (DE-599)BVBBV044925117 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-83 |a DE-634 |a DE-91 |a DE-12 |a DE-29T | ||
084 | |a ZN 6050 |0 (DE-625)157498: |2 rvk | ||
100 | 1 | |a Bodesheim, Paul |d 1987- |e Verfasser |0 (DE-588)1157042090 |4 aut | |
245 | 1 | 0 | |a Discovering unknown visual objects with novelty detection techniques |c von Dipl.-Inf. Paul Bodesheim |
250 | |a 1. Auflage | ||
264 | 1 | |a München |b Verlag Dr. Hut |c 2018 | |
300 | |a xiii, 473 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Informatik | |
502 | |b Dissertation |c Friedrich-Schiller-Universität Jena |d 2017 | ||
650 | 0 | 7 | |a Objekterkennung |0 (DE-588)4314334-9 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Objekterkennung |0 (DE-588)4314334-9 |D s |
689 | 0 | |5 DE-604 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-030318305 |
Datensatz im Suchindex
_version_ | 1804178496999653376 |
---|---|
any_adam_object | |
author | Bodesheim, Paul 1987- |
author_GND | (DE-588)1157042090 |
author_facet | Bodesheim, Paul 1987- |
author_role | aut |
author_sort | Bodesheim, Paul 1987- |
author_variant | p b pb |
building | Verbundindex |
bvnumber | BV044925117 |
classification_rvk | ZN 6050 |
ctrlnum | (OCoLC)1039174219 (DE-599)BVBBV044925117 |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | 1. Auflage |
format | Thesis Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01215nam a2200349 c 4500</leader><controlfield tag="001">BV044925117</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190107 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">180430s2018 a||| m||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783843935463</subfield><subfield code="9">978-3-8439-3546-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1039174219</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044925117</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">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-83</subfield><subfield code="a">DE-634</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-29T</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZN 6050</subfield><subfield code="0">(DE-625)157498:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bodesheim, Paul</subfield><subfield code="d">1987-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1157042090</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Discovering unknown visual objects with novelty detection techniques</subfield><subfield code="c">von Dipl.-Inf. Paul Bodesheim</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1. Auflage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München</subfield><subfield code="b">Verlag Dr. Hut</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 473 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</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="0" ind2=" "><subfield code="a">Informatik</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Friedrich-Schiller-Universität Jena</subfield><subfield code="d">2017</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Objekterkennung</subfield><subfield code="0">(DE-588)4314334-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Objekterkennung</subfield><subfield code="0">(DE-588)4314334-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030318305</subfield></datafield></record></collection> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV044925117 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:04:54Z |
institution | BVB |
isbn | 9783843935463 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030318305 |
oclc_num | 1039174219 |
open_access_boolean | |
owner | DE-83 DE-634 DE-91 DE-BY-TUM DE-12 DE-29T |
owner_facet | DE-83 DE-634 DE-91 DE-BY-TUM DE-12 DE-29T |
physical | xiii, 473 Seiten Illustrationen, Diagramme |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Verlag Dr. Hut |
record_format | marc |
series2 | Informatik |
spelling | Bodesheim, Paul 1987- Verfasser (DE-588)1157042090 aut Discovering unknown visual objects with novelty detection techniques von Dipl.-Inf. Paul Bodesheim 1. Auflage München Verlag Dr. Hut 2018 xiii, 473 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Informatik Dissertation Friedrich-Schiller-Universität Jena 2017 Objekterkennung (DE-588)4314334-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Objekterkennung (DE-588)4314334-9 s DE-604 |
spellingShingle | Bodesheim, Paul 1987- Discovering unknown visual objects with novelty detection techniques Objekterkennung (DE-588)4314334-9 gnd |
subject_GND | (DE-588)4314334-9 (DE-588)4113937-9 |
title | Discovering unknown visual objects with novelty detection techniques |
title_auth | Discovering unknown visual objects with novelty detection techniques |
title_exact_search | Discovering unknown visual objects with novelty detection techniques |
title_full | Discovering unknown visual objects with novelty detection techniques von Dipl.-Inf. Paul Bodesheim |
title_fullStr | Discovering unknown visual objects with novelty detection techniques von Dipl.-Inf. Paul Bodesheim |
title_full_unstemmed | Discovering unknown visual objects with novelty detection techniques von Dipl.-Inf. Paul Bodesheim |
title_short | Discovering unknown visual objects with novelty detection techniques |
title_sort | discovering unknown visual objects with novelty detection techniques |
topic | Objekterkennung (DE-588)4314334-9 gnd |
topic_facet | Objekterkennung Hochschulschrift |
work_keys_str_mv | AT bodesheimpaul discoveringunknownvisualobjectswithnoveltydetectiontechniques |