Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction.
Mathilde MénoretNicolas FarrugiaBastien PasdeloupVincent GriponPublished in: CoRR (2017)
Keyphrases
- signal processing
- dimensionality reduction
- feature extraction
- pattern recognition
- high dimensionality
- support vector machine svm
- feature space
- classification accuracy
- high dimensional
- random walk
- support vector
- decision trees
- machine learning
- pattern classification
- pattern recognition and machine learning
- directed graph
- dimensionality reduction methods
- low dimensional
- image classification
- image processing
- feature selection
- text classification
- eeg signals
- graph theory
- data representation
- fourier transform
- supervised learning
- classification algorithm
- data points
- feature vectors
- brain computer interface
- classification method
- kernel learning
- functional magnetic resonance imaging
- nonlinear dimensionality reduction
- signal analysis
- structure preserving
- high dimensional data