Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration
Abstract Due to its importance in clinical science, the estimation of physiological states (e.g., the severity of pathological tremor) has aroused growing interest in machine learning community. While the physiological state is a continuous variable, its continuity is lost when the physiological sta...
Main Authors: | Zengyi Qin, Jiansheng Chen, Zhenyu Jiang, Xumin Yu, Chunhua Hu, Yu Ma, Suhua Miao, Rongsong Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-020-79007-5 |
Similar Items
-
On coarse graining and other fine problems
by: Puljiz, Mate
Published: (2017) -
Defect tolerance for yield enhancement of FPGA interconnect using fine-grain and coarse-grain redundancy
by: Yu, Anthony J.
Published: (2009) -
Coarse and fine grain programmable overlay architectures for FPGAs
by: Brant, Alexander Dunlop
Published: (2013) -
Coarse and fine grain programmable overlay architectures for FPGAs
by: Brant, Alexander Dunlop
Published: (2013) -
Coarse and fine grain programmable overlay architectures for FPGAs
by: Brant, Alexander Dunlop
Published: (2013)