Manifold Learning for Adversarial Robustness in Predictive Process Monitoring.
Alexander StevensJari PeeperkornJohannes De SmedtJochen De WeerdtPublished in: ICPM (2023)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional
- semi supervised
- diffusion maps
- nonlinear dimensionality reduction
- subspace learning
- dimension reduction
- manifold learning algorithm
- head pose estimation
- intrinsic manifold
- feature space
- feature extraction
- sparse representation
- high dimensional data
- manifold structure
- laplacian eigenmaps
- geodesic distance
- locality preserving
- neural network
- singular value decomposition
- latent space
- knn
- locality preserving projections
- data mining
- discriminant projection