Minimally Redundant Laplacian Eigenmaps.
David PfauChristopher P. BurgessPublished in: ICLR (Workshop) (2018)
Keyphrases
- pattern recognition
- laplacian eigenmaps
- dimensionality reduction
- manifold learning
- kernel pca
- nonlinear dimensionality reduction
- low dimensional
- feature extraction
- euclidean space
- graph laplacian
- empirical mode decomposition
- high dimensional data
- dimensionality reduction methods
- dynamic time warping
- principal component analysis
- spectral analysis
- image segmentation
- spectral clustering
- data sets
- kernel methods
- sparse representation
- clustering method
- random walk
- latent space
- model selection
- image classification
- high dimensional