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1 Ergebnisse
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Boosted unsupervised multi-source selection for domain adap..:
Vogt, Karsten
;
Paul, A
;
Ostermann, Jörn
...
DOI:https://doi.org/10.5194/isprs-annals-iv-1-w1-229-2017. , 2017
Link:
https://www.repo.uni-hannover.de/handle/123456789/5024
RT Journal T1
Boosted unsupervised multi-source selection for domain adaptation
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhannover:oai:www.repo.uni-hannover.de:123456789_5024&Exemplar=1&LAN=DE A1 Vogt, Karsten A1 Paul, A A1 Ostermann, Jörn A1 Rottensteiner, Franz A1 Heipke, Christian A1 Heipke, C A1 Ying Yang, M A1 Jacobsen, K A1 Stilla, U A1 Skaloud, J A1 Yilmaz, A A1 Colomina, I A1 Rottensteiner, F PB Göttingen : Copernicus GmbH YR 2017 K1 Machine learning K1 Artificial intelligence K1 Marginal distribution K1 Pattern recognition K1 Almost surely K1 Domain adaptation K1 Negative transfer K1 Multi-source K1 Computer science K1 Training set K1 Data set K1 ddc:550 K1 Konferenzschrift JF DOI:https://doi.org/10.5194/isprs-annals-iv-1-w1-229-2017 LK http://dx.doi.org/https://www.repo.uni-hannover.de/handle/123456789/5024 DO https://www.repo.uni-hannover.de/handle/123456789/5024 SF ELIB - SuUB Bremen
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