Multi-task Feature Learning for EEG-based Emotion Recognition Using Group Nonnegative Matrix Factorization

Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Signal and Image Processing Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Robotics [cs.RO] Cognitive science Computer science Cognitive science Psychology Cognitive science Neuroscience

Mohamed Chetouani : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-02422892

Submitted on : Monday, December 23, 2019-1:14:51 PM

Last modification on : Tuesday, February 28, 2023-3:36:25 PM

Dates and versions

hal-02422892 , version 1 (23-12-2019)

Identifiers

HAL Id : hal-02422892 , version 1
DOI : 10.23919/EUSIPCO.2018.8553390

Cite

Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid. Multi-task Feature Learning for EEG-based Emotion Recognition Using Group Nonnegative Matrix Factorization. 2018 26th European Signal Processing Conference (EUSIPCO), Sep 2018, Rome, France. pp.91-95, ⟨10.23919/EUSIPCO.2018.8553390⟩. ⟨hal-02422892⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

INSTITUT-TELECOM CNRS PARISTECH ISIR SORBONNE-UNIVERSITE LTCI S2A SU-SCIENCES ISIR_PIROS

90 View

0 Download