Initializing probabilistic linear discriminant analysis.
Stylianos MoschoglouMihalis A. NicolaouYannis PanagakisStefanos ZafeiriouPublished in: EUSIPCO (2017)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- dimension reduction
- high dimensional data
- null space
- discriminant features
- fisher criterion
- linear discriminant
- feature space
- principal components analysis
- support vector
- small sample size
- multivariate statistical
- dealing with high dimensional data
- discriminative information
- probabilistic model
- data sets
- support vector machine svm
- machine learning
- qr decomposition
- locality preserving projections
- training data
- scatter matrices
- subspace analysis
- high dimensionality
- discriminant vectors
- scatter matrix
- data analysis
- singular value decomposition
- class separability
- support vector machine
- low dimensional
- k nearest neighbor
- subspace methods