Application of Linear Discriminant Analysis to Ultrasound Signals for Automatic Microstructural Characterization and Classification.
Masoud VejdannikAli SadrPublished in: J. Signal Process. Syst. (2016)
Keyphrases
- linear discriminant analysis
- small sample size
- discriminant analysis
- support vector machine svm
- discriminant features
- dimension reduction
- feature extraction
- support vector
- fisher criterion
- class discrimination
- class separability
- feature space
- face recognition
- principal component analysis
- dimensionality reduction
- null space
- linear discriminant
- pattern recognition
- discriminative information
- decision trees
- subspace analysis
- image classification
- subspace methods
- machine learning
- high dimensionality
- sample size
- text classification
- eeg signals
- principal components analysis
- high dimensional data
- locality preserving projections
- signal processing
- support vector machine
- feature vectors
- training set
- learning algorithm
- data mining
- supervised dimensionality reduction