Login / Signup
Kernel learning over the manifold of symmetric positive definite matrices for dimensionality reduction in a BCI application.
Khadijeh Sadatnejad
Saeed Shiry Ghidary
Published in:
Neurocomputing (2016)
Keyphrases
</>
kernel learning
dimensionality reduction
kernel function
low dimensional
manifold learning
kernel matrix
semi supervised
feature space
high dimensional
kernel methods
feature selection
support vector regression
support vector
text classification
learning tasks
input space
metric learning
feature extraction