XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge.
Karan ShahVishruth VeerendranathAnushka HebbarRaghavendra BhatPublished in: CoRR (2023)
Keyphrases
- linear discriminant analysis
- class discrimination
- feature extraction
- supervised learning
- support vector
- discriminant features
- support vector machine svm
- pattern recognition
- dimension reduction
- discriminant analysis
- classification accuracy
- principal component analysis
- learning algorithm
- machine learning
- face recognition
- dimensionality reduction
- feature space
- unsupervised learning
- class separability
- least squares
- discriminative information
- model selection
- locality preserving projections
- fisher criterion
- discriminative learning
- kernel learning
- kernel methods
- high dimensional data
- neural network
- training set
- data mining