Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features.
Francisco J. H. HerasGonzalo G. de PolaviejaPublished in: CoRR (2020)
Keyphrases
- linear discriminant analysis
- supervised dimensionality reduction
- feature extraction
- feature space
- discriminant analysis
- dimensionality reduction
- linear transformation
- discriminative information
- face recognition
- scatter matrices
- principal component analysis
- dimensionality reduction methods
- least squares
- high dimensional data
- null space
- feature vectors
- dimension reduction
- support vector
- small sample size
- training examples
- support vector machine svm
- high dimensionality
- fisher discriminant analysis
- feature set
- principal components analysis
- high dimensional
- low dimensional
- data sets
- kernel trick
- machine learning
- lower dimensional
- pattern recognition
- optimization criterion