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pro vyhledávání: '"Kim Hyunsung"'
Many spatiotemporal domains handle multi-agent trajectory data, but in real-world scenarios, collected trajectory data are often partially missing due to various reasons. While existing approaches demonstrate good performance in trajectory imputation
Externí odkaz:
http://arxiv.org/abs/2408.10878
The analysis of high-intensity runs (or sprints) in soccer has long been a topic of interest for sports science researchers and practitioners. In particular, recent studies suggested contextualizing sprints based on their tactical purposes to better
Externí odkaz:
http://arxiv.org/abs/2406.15659
Autor:
Kim, Kwangrae, Kim, Hyun-Woo J., Ha, Seunghyeok, Kim, Hoon, Kim, Jin-Kwang, Kim, Jaehwon, Kim, Hyunsung, Kwon, Junyoung, Seol, Jihoon, Jung, Saegyeol, Kim, Changyoung, Alatas, Ahmet, Said, Ayman, Merz, Michael, Tacon, Matthieu Le, Bok, Jin Mo, Kim, Ki-Seok, Kim, B. J.
Chirality is a ubiquitous phenomenon in which a symmetry between left- and right-handed objects is broken, examples in nature ranging from subatomic particles and molecules to living organisms. In particle physics, the weak force is responsible for t
Externí odkaz:
http://arxiv.org/abs/2312.11979
Publikováno v:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
As artificial intelligence spreads out to numerous fields, the application of AI to sports analytics is also in the spotlight. However, one of the major challenges is the difficulty of automated acquisition of continuous movement data during sports m
Externí odkaz:
http://arxiv.org/abs/2306.08206
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
In fluid team sports such as soccer and basketball, analyzing team formation is one of the most intuitive ways to understand tactics from domain participants' point of view. However, existing approaches either assume that team formation is consistent
Externí odkaz:
http://arxiv.org/abs/2206.10926
Recently, along with interest in autonomous vehicles, the importance of monitoring systems for both drivers and passengers inside vehicles has been increasing. This paper proposes a novel in-vehicle monitoring system the combines 3D pose estimation,
Externí odkaz:
http://arxiv.org/abs/2204.07946
Publikováno v:
ECML-PKDD Workshop on Machine Learning and Data Mining for Sports Analytics, 2021
Although the values of individual soccer players have become astronomical, subjective judgments still play a big part in the player analysis. Recently, there have been new attempts to quantitatively grasp players' styles using video-based event strea
Externí odkaz:
http://arxiv.org/abs/2109.04720
Akademický článek
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Autor:
Hyman Richard W, St Onge Robert P, Kim Hyunsung, Tamaresis John S, Miranda Molly, Aparicio Ana, Fukushima Marilyn, Pourmand Nader, Giudice Linda C, Davis Ronald W
Publikováno v:
BMC Microbiology, Vol 12, Iss 1, p 29 (2012)
Abstract Background Our ultimate goal is to detect the entire human microbiome, in health and in disease, in a single reaction tube, and employing only commercially available reagents. To that end, we adapted molecular inversion probes to detect bact
Externí odkaz:
https://doaj.org/article/4d15bd7da1024c8c921102ed323511a0
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 479 (2011)
Abstract Background The nCounter analysis system (NanoString Technologies, Seattle, WA) is a technology that enables the digital quantification of multiplexed target RNA molecules using color-coded molecular barcodes and single-molecule imaging. This
Externí odkaz:
https://doaj.org/article/f24585a964a9477183a1fef39eb2409e