Robust Manifold Learning via Conformity Pursuit.
Mahlagha SedghiGeorge K. AtiaMichael GeorgiopoulosPublished in: IEEE Signal Process. Lett. (2019)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- high dimensional
- diffusion maps
- high dimensional data
- nonlinear dimensionality reduction
- dimension reduction
- locality preserving
- laplacian eigenmaps
- semi supervised
- subspace learning
- feature extraction
- feature space
- sparse representation
- head pose estimation
- pattern recognition
- supervised learning
- training data
- neural network
- manifold embedding