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{"references": ["Tsuchida, Shuhei, Satoru Fukayama, and Masataka Goto. \"Query-by-dancing: a dance music retrieval system based on body-motion similarity.\" International Conference on Multimedia Modeling. Springer, Cham, 2019.", "Cao, Zhe, et al. \"OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields.\" IEEE transactions on pattern analysis and machine intelligence 43.1 (2019): 172-186.", "Lin Peng. 2020. Why is re-enactment critical in the research of Confucian Rites.", "Kenderdine, Sarah, and Jeffrey Shaw. \"Archives in Motion.\" Museum and Archive on the Move: Changing Cultural Institutions in the Digital Era, edited by Oliver Grau Wendy Coones and Viola R\u00fchse (2017): 211-233."]}
Poster presented at 16th International Digital Curation Conference (IDCC21), on "Data quality and data limitations: working towards equality through data curation", 19 April 2021, Edinburgh, UK By Yumeng Hou, Fadel Mamar Seydou and David Cian.
embodied knowledge, machine learning, computational archive, FAIR
embodied knowledge, machine learning, computational archive, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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