Efficient Recovery of Low-Dimensional Structure from High-Dimensional Data.
Shyjan MahamudMartial HebertPublished in: ICCV (1999)
Keyphrases
- input data
- high dimensional data
- low dimensional structure
- data sets
- data points
- subspace clustering
- input space
- high dimensional spaces
- high dimensionality
- dimension reduction
- similarity search
- high dimensional data sets
- linear discriminant analysis
- clustering high dimensional data
- dimensional data
- data distribution
- sparse representation
- high dimensional
- locally linear embedding
- nearest neighbor
- data analysis
- support vector
- feature extraction
- machine learning
- low dimensional
- manifold learning
- dimensionality reduction
- indexing structure
- subspace learning
- high dimensional datasets