Robust Locally Linear Embedding and Application in High Dimensional Data.
Tan LuPublished in: ICNC (1) (2009)
Keyphrases
- high dimensional data
- locally linear embedding
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- nearest neighbor
- manifold learning
- high dimensionality
- data points
- data sets
- dimensional data
- original data
- dimension reduction
- similarity search
- sparse representation
- neural network
- underlying manifold
- data analysis
- data distribution
- input data
- input space
- subspace learning
- principal components analysis
- laplacian eigenmaps
- feature extraction
- high dimensional spaces
- computer vision
- low dimensional structure
- diffusion maps
- linear discriminant analysis
- multi dimensional