Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Kevin Ji"'
Publikováno v:
Algorithms, Vol 15, Iss 5, p 146 (2022)
This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting. The key defining characteristic of marketplace fingerprinting is choice: we consider a broad range of
Externí odkaz:
https://doaj.org/article/cd1e698ad8a94ac5835a826c31d24b0e
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1387 (2021)
This article studies a composer style classification task based on raw sheet music images. While previous works on composer recognition have relied exclusively on supervised learning, we explore the use of self-supervised pretraining methods that hav
Externí odkaz:
https://doaj.org/article/0c61fe7ed759493eb5581fb91732ada7
This paper studies the problem of identifying piano sheet music based on a cell phone image of all or part of a physical page. We re-examine current best practices for large-scale sheet music retrieval through an economics perspective. In our analogy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69db6a1e057689b771c9e9c813388903
Publikováno v:
ICASSP
This paper studies instrument classification of solo sheet music. Whereas previous work has focused on instrument recognition in audio data, we instead approach the instrument classification problem using raw sheet music images. Our approach first co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587ea32619ac88dcae21089c4f24600b
https://doi.org/10.1109/icassp39728.2021.9413732
https://doi.org/10.1109/icassp39728.2021.9413732
Autor:
Timothy Tsai, Kevin Ji
This paper studies composer style classification of piano sheet music images. Previous approaches to the composer classification task have been limited by a scarcity of data. We address this issue in two ways: (1) we recast the problem to be based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf98f0849a192086a552b9449af2d740
Publikováno v:
Applied Sciences
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1387, p 1387 (2021)
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1387, p 1387 (2021)
This article studies a composer style classification task based on raw sheet music images. While previous works on composer recognition have relied exclusively on supervised learning, we explore the use of self-supervised pretraining methods that hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ca0eac3114154b4bb721b28ca371cc
https://doi.org/10.3390/app11041387
https://doi.org/10.3390/app11041387
Autor:
Kelton, Maryanne (AUTHOR), Sullivan, Michael (AUTHOR), Rogers, Zac (AUTHOR), Bienvenue, Emily (AUTHOR), Troath, Sian (AUTHOR)
Publikováno v:
International Affairs. Nov2022, Vol. 98 Issue 6, p1977-1999. 23p. 2 Charts.
Autor:
Yang, Daniel1 (AUTHOR) dhyang@g.hmc.edu, Goutam, Arya1 (AUTHOR), Ji, Kevin1 (AUTHOR), Tsai, TJ1 (AUTHOR) ttsai@hmc.edu
Publikováno v:
Algorithms. May2022, Vol. 15 Issue 5, p146. 21p.