A4 Article in conference proceedings
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music (2016)
Wang, D., Cong, F., Zhao, Q., Toiviainen, P., Nandi, A. K., Huotilainen, M., Ristaniemi, T., & Cichocki, A. (2016). Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. In F. A. N. Palmieri, A. Uncini, K. Diamantaras, & J. Larsen (Eds.), Proceedings of MLSP 2016 : IEEE International Workshop on Machine Learning for Signal Processing. Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/MLSP.2016.7738849
JYU authors or editors
Publication details
All authors or editors: Wang, Deqing; Cong, Fengyu; Zhao, Qibin; Toiviainen, Petri; Nandi, Asoke K.; Huotilainen, Minna; Ristaniemi, Tapani; Cichocki, Andrzej
Parent publication: Proceedings of MLSP 2016 : IEEE International Workshop on Machine Learning for Signal Processing
Parent publication editors: Palmieri, Francesco A. N.; Uncini, Aurelio; Diamantaras, Kostas; Larsen, Jan
ISBN: 978-1-5090-0746-2
Publication year: 2016
Publisher: Institute of Electrical and Electronic Engineers
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1109/MLSP.2016.7738849
Publication open access: Not open
Publication channel open access:
Additional information: MLSP 2016 : IEEE International Workshop on Machine Learning for Signal Processing, September 13-16, 2016 Vietri sul Mare, Salerno, Italy
Keywords: music
Free keywords: tensor decomposition; Ongoing EEG; multilinear partial least squares
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2016
JUFO rating: 1