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pro vyhledávání: '"Frank, Andrea M."'
Autor:
Frank, Steven J., Frank, Andrea M.
We use convolutional neural networks (CNNs) to analyze authorship questions surrounding the works of Leonardo da Vinci -- in particular, Salvator Mundi, the world's most expensive painting and among the most controversial. Trained on the works of an
Externí odkaz:
http://arxiv.org/abs/2005.10600
Autor:
Frank, Steven J., Frank, Andrea M.
Trained on the works of an artist under study and visually comparable works of other artists, convolutional neural networks can identify forgeries and provide attributions. They can also assign classification probabilities within a painting, revealin
Externí odkaz:
http://arxiv.org/abs/2002.05107
Autor:
Frank, Steven J., Frank, Andrea M.
As a training and analysis strategy for convolutional neural networks (CNNs), we slice images into tiled segments and use, for training and prediction, segments that both satisfy a criterion of information diversity and contain sufficient content to
Externí odkaz:
http://arxiv.org/abs/1907.12436
Autor:
Frank, Steven J.1 steve@art-eye-d.com, Frank, Andrea M.2 andrea@art-eye-d.com
Publikováno v:
Leonardo. 12/22/2021, Vol. 54 Issue 6, p619-624. 7p. 1 Color Photograph, 2 Charts, 1 Graph.
Akademický článek
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Autor:
Frank, Steven J.1 (AUTHOR) steve@art-eye-d.com, Frank, Andrea M.1 (AUTHOR) andrea@art-eye-d.com
Publikováno v:
Neural Computation. Jun2020, Vol. 32 Issue 6, p1222-1237. 16p. 2 Illustrations, 1 Diagram, 3 Charts, 3 Graphs.
Publikováno v:
The Journal of Cell Biology, 1978 Oct 01. 79(1), 184-199.
Externí odkaz:
https://www.jstor.org/stable/1608513
Autor:
Frank, Steven J., Frank, Andrea M.
Publikováno v:
International Journal of Arts and Technology; 2022, Vol. 14 Issue: 3 p192-205, 14p