Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures.
Yulong WangPublished in: AAAI (2024)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- dimensionality reduction
- dimension reduction
- manifold learning
- input space
- similarity search
- subspace clustering
- high dimensions
- high dimensionality
- nearest neighbor
- latent space
- lower dimensional
- principal component analysis
- nonlinear dimensionality reduction
- data points
- euclidean space
- low rank
- feature space
- data analysis
- data sets
- data distribution
- image processing
- original data
- linear discriminant analysis
- multi dimensional
- high dimensional spaces
- locally linear embedding
- high dimensional data sets
- database
- sparse representation
- clustering method
- input data
- subspace learning
- high dimensional datasets
- face recognition