0449 Comparing Deep Feature Representations to Improve Robustness to Subject Variation in Snore Detection

Autor:	Kenji Shimada, Rahul Shailesh Raina, Chun Fan Goh, Akhil Chaturvedi
Rok vydání:	2019
Předmět:	Variation (linguistics) business.industry Feature (computer vision) Robustness (computer science) Computer science Physiology (medical) Deep learning Subject (grammar) Pattern recognition Neurology (clinical) Artificial intelligence business
Zdroj:	Sleep. 42:A180-A181
ISSN:	1550-9109 0161-8105
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9e3d8d257a1da7a4c203a1f580bf3089 https://doi.org/10.1093/sleep/zsz067.448 Zobrazit plný text záznamu