Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2841847
Abstract: Common spatial pattern (CSP)-based spatial filtering has been most popularly applied to electroencephalogram (EEG) feature extraction for motor imagery (MI) classification in brain–computer interface (BCI) application. The effectiveness of CSP is highly affected by the… read more here.
Keywords: motor imagery; time; constrained sparse; group spatial ... See more keywords
Robust Rank-Constrained Sparse Learning: A Graph-Based Framework for Single View and Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3067137
Abstract: Graph-based clustering aims to partition the data according to a similarity graph, which has shown impressive performance on various kinds of tasks. The quality of similarity graph largely determines the clustering results, but it is… read more here.
Keywords: constrained sparse; robust rank; rank constrained; graph ... See more keywords