Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction.
Mathilde MénoretNicolas FarrugiaBastien PasdeloupVincent GriponPublished in: GlobalSIP (2017)
Keyphrases
- signal processing
- dimensionality reduction
- pattern recognition
- feature extraction
- high dimensionality
- feature space
- pattern classification
- image processing
- feature selection
- classification accuracy
- classification algorithm
- high dimensional data
- supervised learning
- kernel learning
- machine learning
- human brain
- data representation
- dimensionality reduction methods
- directed graph
- pattern recognition and machine learning
- low dimensional
- image classification
- decision trees
- structured data
- principal components
- principal component analysis
- support vector machine
- label information
- feature vectors
- support vector
- structure preserving