Classification of Altimetric Signals using Linear Discriminant Analysis.
Jean-Yves TourneretCorinne MailhesLaiba AmaroucheNathalie SteunouPublished in: IGARSS (3) (2008)
Keyphrases
- linear discriminant analysis
- support vector machine svm
- small sample size
- discriminant features
- feature extraction
- support vector
- discriminant analysis
- feature space
- dimension reduction
- class separability
- class discrimination
- dimensionality reduction
- fisher criterion
- principal component analysis
- discriminative information
- face recognition
- subspace analysis
- principal components analysis
- classification accuracy
- pattern recognition
- subspace methods
- feature vectors
- high dimensional data
- feature selection
- signal processing
- machine learning
- high dimensionality
- null space
- image classification
- linear discriminant
- svm classifier
- kernel discriminant analysis
- discriminative features
- kernel pca
- microarray data
- locality preserving projections
- support vector machine
- decision trees