Artifacts in Simultaneous hdEEG/fMRI Imaging: A Nonlinear Dimensionality Reduction Approach.
Marek PioreckyVlastimil KoudelkaJan StroblMartin BrunovskyVladimir KrajcaPublished in: Sensors (2019)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction
- low dimensional
- high dimensional data
- laplacian eigenmaps
- high resolution
- maximum variance unfolding
- locally linear embedding
- data analysis
- image processing
- dimensionality reduction methods
- high dimensional
- computer vision
- riemannian manifolds
- functional magnetic resonance imaging
- pattern recognition
- data sets
- medical imaging
- data points
- data visualization
- neural network
- feature selection
- geodesic distance
- medical images
- multi class