Zobrazeno 1 - 10
of 26
pro vyhledávání: '"LUCHEN LIU"'
Publikováno v:
大数据, Vol 5, p 2019003 (2019)
Patient representation embeds patients' longitude records from multiple sources into continuous low-dimension vectors, which can be used to predict whether a disease will happen in the future. However, the problem is very challenging since patients'
Externí odkaz:
https://doaj.org/article/f796bfdff0f04f4a8dab48a14abac9a5
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Mar2024, Vol. 20 Issue 3, p1-19, 19p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Feb2024, Vol. 18 Issue 2, p1-23, 23p
Autor:
XIAO LUO, DAQING WU, YIYANG GU, CHONG CHEN, LUCHEN LIU, JINWEN MA, MING ZHANG, MINGHUA DENG, JIANQIANG HUANG, XIAN-SHENG HUA
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-26, 26p
Publikováno v:
Neural Information Processing ISBN: 9783031301100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b98999db71b84424b4d85415ddac202
https://doi.org/10.1007/978-3-031-30111-7_50
https://doi.org/10.1007/978-3-031-30111-7_50
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:3351-3365
Hashing methods have been extensively applied to efficient multimedia data indexing and retrieval on account of the explosion of multimedia data. Cross-modal hashing usually learns binary codes by mapping multi-modal data into a common Hamming space.
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).