M-Estimation-Based Subspace Learning for Brain Computer Interfaces.

Berkan Kadioglu Ilkay Yildiz Pau Closas Deniz Erdogmus

Published in: IEEE J. Sel. Top. Signal Process. (2018)

Keyphrases

subspace learning
brain computer interface
dimensionality reduction
data representation
manifold learning
motor imagery
sparse representation
low dimensional

signal processing
learning algorithm
face recognition
semi supervised
brain signals
sparse coding
spinal cord injury
high dimensional data

eeg signals
principal component analysis
pattern recognition
eeg data
evoked potentials
data sets
model selection

text classification
similarity measure
feature selection
motor learning
machine learning
subspace learning algorithm
neural network