Robust one-class classification using deep kernel spectral regression.
Salman MohammadShervin Rahimzadeh ArashlooPublished in: Neurocomputing (2024)
Keyphrases
- support vector
- regression model
- sparse kernel
- reproducing kernel hilbert space
- neural network
- model selection
- kernel regression
- representer theorem
- kernel function
- computationally efficient
- spectral analysis
- gaussian process regression
- kernel ridge regression
- kernel methods
- partial occlusion
- kernel machines
- ridge regression
- feature space
- classification and regression problems