Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings.
Niko BrümmerAlbert SwartLadislav MosnerAnna SilnovaOldrich PlchotThemos StafylakisLukás BurgetPublished in: CoRR (2022)
Keyphrases
- discriminant analysis
- linear discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- high dimensional data
- feature extraction
- fisher criterion
- low dimensional
- fisher linear discriminant analysis
- partial least squares
- dimension reduction
- generalized linear
- generative model
- discriminant projection
- manifold learning
- support vector
- fisher discriminant analysis
- feature space
- euclidean space
- bayesian networks
- probabilistic model
- linear discriminant
- kernel discriminant analysis
- discriminant subspace
- null space
- neural network
- support vector machine svm
- data analysis