Minimally Informed Linear Discriminant Analysis: training an LDA model with unlabelled data.
Nicolas HeintzTom FrancartAlexander BertrandPublished in: CoRR (2023)
Keyphrases
- linear discriminant analysis
- labelled data
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- feature extraction
- support vector
- feature space
- latent dirichlet allocation
- support vector machine svm
- high dimensional data
- training set
- training data
- topic models
- neural network
- singular value decomposition
- training samples
- training examples
- supervised learning