Parametric Manifold Learning Via Sparse Multidimensional Scaling.
Gautam PaiRonen TalmonRon KimmelPublished in: CoRR (2017)
Keyphrases
- manifold learning
- multidimensional scaling
- low dimensional
- high dimensional
- sparse representation
- dimensionality reduction
- geodesic distance
- high dimensional data
- dimension reduction
- semi supervised
- feature space
- feature extraction
- data points
- input space
- high dimensionality
- face recognition
- euclidean space
- latent space
- principal component analysis
- pattern recognition
- nearest neighbor
- neural network
- linear combination
- euclidean distance
- singular value decomposition
- cluster analysis
- image classification
- image features
- support vector
- data mining