Manifold Learning for Real-World Event Understanding.
Caroline Mazini RodriguesAurea Soriano-VargasBahram LaviAnderson RochaZanoni DiasPublished in: IEEE Trans. Inf. Forensics Secur. (2021)
Keyphrases
- manifold learning
- real world
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- diffusion maps
- semi supervised
- high dimensional data
- subspace learning
- feature extraction
- geodesic distance
- laplacian eigenmaps
- sparse representation
- dimension reduction
- manifold learning algorithm
- data sets
- locally linear embedding
- neural network
- embedding space
- low dimensional manifolds
- semi supervised learning