New results on multi-dimensional linear discriminant analysis.
Amir BeckRaz SharonPublished in: Oper. Res. Lett. (2022)
Keyphrases
- linear discriminant analysis
- multi dimensional
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- small sample size
- support vector
- feature extraction
- discriminant features
- fisher criterion
- high dimensional data
- support vector machine svm
- high dimensional
- class separability
- linear discriminant
- scatter matrix
- principal components analysis
- subspace methods
- feature space
- null space
- dealing with high dimensional data
- discriminative information
- locality preserving projections
- machine learning
- generalized discriminant analysis
- lower dimensional
- least squares
- training set
- data analysis
- subspace analysis
- scatter matrices
- pattern recognition
- training data
- neural network