Manifold learning in local tangent space via extreme learning machine.
Qian WangWeiguo WangRui NianBo HeYue ShenKaj-Mikael BjörkAmaury LendassePublished in: Neurocomputing (2016)
Keyphrases
- manifold learning
- principal curves
- riemannian manifolds
- low dimensional
- dimensionality reduction
- high dimensional
- semi supervised
- dimension reduction
- subspace learning
- high dimensional data
- support vector regression
- feature extraction
- sparse representation
- feature space
- geodesic distance
- support vector
- singular value decomposition
- learning algorithm
- principal components
- multi class
- pattern recognition