Robust cartogram visualization of outliers in manifold learning.
Alessandra TosiAlfredo VellidoPublished in: ESANN (2013)
Keyphrases
- manifold learning
- nonlinear dimension reduction
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- diffusion maps
- dimension reduction
- manifold structure
- high dimensional data
- subspace learning
- head pose estimation
- laplacian eigenmaps
- missing data
- low dimensional manifolds
- locality preserving
- sparse representation
- feature space
- locally linear embedding
- data points
- discriminant projection
- machine learning
- neural network
- geodesic distance
- learning process
- data analysis
- feature extraction
- decision trees
- image processing