${{\, \mathrm{SU}\, }}(1, 1)$ Equivariant Neural Networks and Application to Robust Toeplitz Hermitian Positive Definite Matrix Classification.
Pierre-Yves LagraveYann CabanesFrédéric BarbarescoPublished in: GSI (2021)
Keyphrases
- positive definite
- neural network
- pattern recognition
- covariance matrix
- kernel machines
- kernel function
- support vector machine
- geometric structure
- least squares
- classification accuracy
- structure tensor
- support vector
- semi parametric
- cross validation
- kernel matrix
- diffusion tensor
- sample size
- model selection
- text classification
- supervised learning