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1 Ergebnisse
1
Calligraphic Stylisation Learning with a Physiologically Pl..:
Berio, Daniel
;
Akten, Memo
;
Leymarie, Frederic Fol
..
https://ualresearchonline.arts.ac.uk/id/eprint/14577/1/Calligraphic%20Stylisation%20Learning%20with%20a%20Physiologically%20Plausible%20Model%20of%20Movement%20and%20Recurrent%20Neural%20Networks. , 2017
Link:
https://ualresearchonline.arts.ac.uk/id/eprint/14577/
RT Journal T1 <Title>Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivartslondon:oai:ualresearchonline.arts.ac.uk:14577&Exemplar=1&LAN=DE A1 Berio, Daniel A1 Akten, Memo A1 Leymarie, Frederic Fol A1 Grierson, Mick A1 Plamondon, Réjean YR 2017 K1 Computer Science K1 Human-computer Interaction K1 Software Design JF https://ualresearchonline.arts.ac.uk/id/eprint/14577/1/Calligraphic%20Stylisation%20Learning%20with%20a%20Physiologically%20Plausible%20Model%20of%20Movement%20and%20Recurrent%20Neural%20Networks LK http://dx.doi.org/https://ualresearchonline.arts.ac.uk/id/eprint/14577/ DO https://ualresearchonline.arts.ac.uk/id/eprint/14577/ SF ELIB - SuUB Bremen
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