Visual attributes:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2017]
|
| Schriftenreihe: | Advances in computer vision and pattern recognition
|
| Schlagworte: | |
| Online-Zugang: | http://www.springer.com/ Inhaltstext |
| Beschreibung: | viii, 364 Seiten Illustrationen 23.5 cm x 15.5 cm, 0 g |
| ISBN: | 9783319500751 3319500759 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045422570 | ||
| 003 | DE-604 | ||
| 005 | 20190218 | ||
| 007 | t | ||
| 008 | 190123s2017 sz a||| |||| 00||| eng d | ||
| 016 | 7 | |a 111709572X |2 DE-101 | |
| 020 | |a 9783319500751 |c Book : circa EUR 117.69 (DE) (freier Preis), circa EUR 120.99 (AT) (freier Preis), circa CHF 121.00 (freier Preis) |9 978-3-319-50075-1 | ||
| 020 | |a 3319500759 |9 3-319-50075-9 | ||
| 024 | 3 | |a 9783319500751 | |
| 028 | 5 | 2 | |a Bestellnummer: 978-3-319-50075-1 |
| 028 | 5 | 2 | |a Bestellnummer: 86437397 |
| 035 | |a (OCoLC)1083268901 | ||
| 035 | |a (DE-599)DNB111709572X | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a sz |c XA-CH | ||
| 049 | |a DE-91G | ||
| 084 | |a 004 |2 sdnb | ||
| 084 | |a DAT 760f |2 stub | ||
| 084 | |a DAT 708f |2 stub | ||
| 245 | 1 | 0 | |a Visual attributes |c Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh editors |
| 264 | 1 | |a Cham, Switzerland |b Springer |c [2017] | |
| 300 | |a viii, 364 Seiten |b Illustrationen |c 23.5 cm x 15.5 cm, 0 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Advances in computer vision and pattern recognition | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Objekterkennung |0 (DE-588)4314334-9 |2 gnd |9 rswk-swf |
| 653 | |a UYT | ||
| 653 | |a Computer Vision | ||
| 653 | |a Fine-Grained Classification | ||
| 653 | |a Human-Machine Communication | ||
| 653 | |a Image Search and Retrieval | ||
| 653 | |a Machine Learning | ||
| 653 | |a Sentence Generation from Images | ||
| 653 | |a Visual Analysis Beyond Semantics | ||
| 653 | |a Visual Attributes | ||
| 653 | |a Zero-Shot Learning | ||
| 689 | 0 | 0 | |a Objekterkennung |0 (DE-588)4314334-9 |D s |
| 689 | 0 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 2 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Feris, Rogerio Schmidt |0 (DE-588)1156807336 |4 edt | |
| 700 | 1 | |a Lampert, Christoph |4 edt | |
| 700 | 1 | |a Parikh, Devi |4 edt | |
| 710 | 2 | |a Springer International Publishing |0 (DE-588)1064344704 |4 pbl | |
| 776 | 0 | 8 | |i Elektronische Reproduktion |z 9783319500775 |
| 776 | 0 | 8 | |i Erscheint auch als |t Visual Attributes |b 1st edition 2017 |d Cham : Springer International Publishing, 2017 |n Online-Ressourcen |z 978-3-319-50077-5 |
| 856 | 4 | 0 | |u http://www.springer.com/ |x Verlag |
| 856 | 4 | 2 | |m X:MVB |q text/html |u http://deposit.dnb.de/cgi-bin/dokserv?id=006dfb318bdc4bee88e76ffb3341b46d&prov=M&dok_var=1&dok_ext=htm |3 Inhaltstext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030808427 | ||
Datensatz im Suchindex
| _version_ | 1804179303313702912 |
|---|---|
| any_adam_object | |
| author2 | Feris, Rogerio Schmidt Lampert, Christoph Parikh, Devi |
| author2_role | edt edt edt |
| author2_variant | r s f rs rsf c l cl d p dp |
| author_GND | (DE-588)1156807336 |
| author_facet | Feris, Rogerio Schmidt Lampert, Christoph Parikh, Devi |
| building | Verbundindex |
| bvnumber | BV045422570 |
| classification_tum | DAT 760f DAT 708f |
| ctrlnum | (OCoLC)1083268901 (DE-599)DNB111709572X |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02629nam a2200661 c 4500</leader><controlfield tag="001">BV045422570</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190218 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">190123s2017 sz a||| |||| 00||| eng d</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">111709572X</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319500751</subfield><subfield code="c">Book : circa EUR 117.69 (DE) (freier Preis), circa EUR 120.99 (AT) (freier Preis), circa CHF 121.00 (freier Preis)</subfield><subfield code="9">978-3-319-50075-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3319500759</subfield><subfield code="9">3-319-50075-9</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783319500751</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">Bestellnummer: 978-3-319-50075-1</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">Bestellnummer: 86437397</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1083268901</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB111709572X</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="044" ind1=" " ind2=" "><subfield code="a">sz</subfield><subfield code="c">XA-CH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 760f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Visual attributes</subfield><subfield code="c">Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh editors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham, Switzerland</subfield><subfield code="b">Springer</subfield><subfield code="c">[2017]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">viii, 364 Seiten</subfield><subfield code="b">Illustrationen</subfield><subfield code="c">23.5 cm x 15.5 cm, 0 g</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">Advances in computer vision and pattern recognition</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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="653" ind1=" " ind2=" "><subfield code="a">UYT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computer Vision</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fine-Grained Classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Human-Machine Communication</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Image Search and Retrieval</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine Learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sentence Generation from Images</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Visual Analysis Beyond Semantics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Visual Attributes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Zero-Shot Learning</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="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Feris, Rogerio Schmidt</subfield><subfield code="0">(DE-588)1156807336</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lampert, Christoph</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Parikh, Devi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Springer International Publishing</subfield><subfield code="0">(DE-588)1064344704</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Elektronische Reproduktion</subfield><subfield code="z">9783319500775</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="t">Visual Attributes</subfield><subfield code="b">1st edition 2017</subfield><subfield code="d">Cham : Springer International Publishing, 2017</subfield><subfield code="n">Online-Ressourcen</subfield><subfield code="z">978-3-319-50077-5</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.springer.com/</subfield><subfield code="x">Verlag</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="q">text/html</subfield><subfield code="u">http://deposit.dnb.de/cgi-bin/dokserv?id=006dfb318bdc4bee88e76ffb3341b46d&prov=M&dok_var=1&dok_ext=htm</subfield><subfield code="3">Inhaltstext</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030808427</subfield></datafield></record></collection> |
| id | DE-604.BV045422570 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:17:43Z |
| institution | BVB |
| institution_GND | (DE-588)1064344704 |
| isbn | 9783319500751 3319500759 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030808427 |
| oclc_num | 1083268901 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | viii, 364 Seiten Illustrationen 23.5 cm x 15.5 cm, 0 g |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| series2 | Advances in computer vision and pattern recognition |
| spelling | Visual attributes Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh editors Cham, Switzerland Springer [2017] viii, 364 Seiten Illustrationen 23.5 cm x 15.5 cm, 0 g txt rdacontent n rdamedia nc rdacarrier Advances in computer vision and pattern recognition Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Objekterkennung (DE-588)4314334-9 gnd rswk-swf UYT Computer Vision Fine-Grained Classification Human-Machine Communication Image Search and Retrieval Machine Learning Sentence Generation from Images Visual Analysis Beyond Semantics Visual Attributes Zero-Shot Learning Objekterkennung (DE-588)4314334-9 s Maschinelles Lernen (DE-588)4193754-5 s Maschinelles Sehen (DE-588)4129594-8 s DE-604 Feris, Rogerio Schmidt (DE-588)1156807336 edt Lampert, Christoph edt Parikh, Devi edt Springer International Publishing (DE-588)1064344704 pbl Elektronische Reproduktion 9783319500775 Erscheint auch als Visual Attributes 1st edition 2017 Cham : Springer International Publishing, 2017 Online-Ressourcen 978-3-319-50077-5 http://www.springer.com/ Verlag X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=006dfb318bdc4bee88e76ffb3341b46d&prov=M&dok_var=1&dok_ext=htm Inhaltstext |
| spellingShingle | Visual attributes Maschinelles Lernen (DE-588)4193754-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Objekterkennung (DE-588)4314334-9 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4129594-8 (DE-588)4314334-9 |
| title | Visual attributes |
| title_auth | Visual attributes |
| title_exact_search | Visual attributes |
| title_full | Visual attributes Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh editors |
| title_fullStr | Visual attributes Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh editors |
| title_full_unstemmed | Visual attributes Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh editors |
| title_short | Visual attributes |
| title_sort | visual attributes |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Objekterkennung (DE-588)4314334-9 gnd |
| topic_facet | Maschinelles Lernen Maschinelles Sehen Objekterkennung |
| url | http://www.springer.com/ http://deposit.dnb.de/cgi-bin/dokserv?id=006dfb318bdc4bee88e76ffb3341b46d&prov=M&dok_var=1&dok_ext=htm |
| work_keys_str_mv | AT ferisrogerioschmidt visualattributes AT lampertchristoph visualattributes AT parikhdevi visualattributes AT springerinternationalpublishing visualattributes |