Generalized consistent estimation on low-rank Krylov subspaces of arbitrarily high dimension.
Francisco RubioXavier MestrePublished in: IEEE Trans. Signal Process. (2009)
Keyphrases
- low rank
- high dimension
- high dimensional data
- high dimensional
- low dimensional
- low rank representation
- dimensionality reduction
- input space
- low rank matrix
- matrix completion
- high dimensionality
- nearest neighbor
- data points
- missing data
- regularized regression
- subspace clustering
- data sets
- feature space
- data analysis
- linear combination
- sparse representation
- rank minimization
- real valued
- missing values
- convex optimization
- variable selection
- high order
- matrix factorization
- semi supervised
- decision trees
- feature selection
- singular value decomposition
- generative model
- input data
- small sample
- affinity matrix
- image data
- lower bound
- trace norm
- feature extraction