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Exploring Digitised Moving Image Collections: The SEMIA Project, Visual Analysis and the Turn to Abstraction.

, , , and . Digit. Humanit. Q., (2020)

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Toward Discovery of the Artist's Style: Learning to recognize artists by their artworks., , and . IEEE Signal Process. Mag., 32 (4): 46-54 (2015)Learning scale-variant and scale-invariant features for deep image classification., and . CoRR, (2016)Learning Task Relatedness in Multi-Task Learning for Images in Context., , and . ICMR, page 78-86. ACM, (2019)The Met Dataset: Instance-level Recognition for Artworks., , , , , and . NeurIPS Datasets and Benchmarks, (2021)Hierarchical Explanations for Video Action Recognition., , and . CVPR Workshops, page 3703-3708. IEEE, (2023)Deep Learning as a Tool for Early Cinema Analysis., , and . SUMAC @ ACM Multimedia, page 61-68. ACM, (2019)OmniEyes: Analysis and Synthesis of Artistically Painted Eyes., , , and . MMM (1), volume 11961 of Lecture Notes in Computer Science, page 628-641. Springer, (2020)Evaluation of selection in context-free grammar learning systems., and . ICGI, volume 34 of JMLR Workshop and Conference Proceedings, page 193-206. JMLR.org, (2014)Light-weight pixel context encoders for image inpainting., and . CoRR, (2018)Model Merging versus Model Splitting Context-Free Grammar Induction., and . ICGI, volume 21 of JMLR Proceedings, page 224-236. JMLR.org, (2012)