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Unsupervised learning approaches to characterize heterogene..:
Zhuang, Yulong
;
Awel, Salah
;
Barty, Anton
...
http://arxiv.org/abs/2109.06179. , 2021
Link:
http://arxiv.org/abs/2109.06179
RT Journal T1
Unsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging
UL https://suche.suub.uni-bremen.de/peid=base-ftarxivpreprints:oai:arXiv.org:2109.06179&Exemplar=1&LAN=DE A1 Zhuang, Yulong A1 Awel, Salah A1 Barty, Anton A1 Bean, Richard A1 Bielecki, Johan A1 Bergemann, Martin A1 Daurer, Benedikt J A1 Ekeberg, Tomas A1 Estillore, Armando D A1 Fangohr, Hans A1 Giewekemeyer, Klaus A1 Hunter, Mark S A1 Karnevskiy, Mikhail A1 Kirian, Richard A A1 Kirkwood, Henry A1 Kim, Yoonhee A1 Koliyadu, Jayanath A1 Lange, Holger A1 Letrun, Romain A1 Lübke, Jannik A1 Mall, Abhishek A1 Michelat, Thomas A1 Morgan, Andrew J A1 Roth, Nils A1 Samanta, Amit K A1 Sato, Tokushi A1 Shen, Zhou A1 Sikorski, Marcin A1 Schulz, Florian A1 Spence, John C. H A1 Vagovic, Patrik A1 Wollweber, Tamme A1 Worbs, Lena A1 Xavier, P. Lourdu A1 Yefanov, Oleksandr A1 Maia, Filipe R. N. C A1 Horke, Daniel A A1 Küpper, Jochen A1 Loh, N. Duane A1 Mancuso, Adrian P A1 Chapman, Henry N A1 Ayyer, Kartik YR 2021 K1 Electrical Engineering and Systems Science - Image and Video Processing K1 Condensed Matter - Mesoscale and Nanoscale Physics K1 Physics - Data Analysis K1 Statistics and Probability JF http://arxiv.org/abs/2109.06179 LK http://arxiv.org/abs/2109.06179 DO http://arxiv.org/abs/2109.06179 SF ELIB - SuUB Bremen
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