Disruptive transformation of artworks in master-disciple relationships: the case of Ukiyo-e artworks
Abstract Art-historical research has traditionally emphasized qualitative interpretation and visual analysis, but recent advances in machine learning have enabled the quantitative examination of visual and stylistic features that were previously difficult to analyze systematically. While large-scale...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SpringerOpen
2026-03-01
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| Seria: | EPJ Data Science |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1140/epjds/s13688-026-00646-1 |
| Etykiety: |
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