The Sparse Principal Component of a Constant-Rank Matrix.
Megasthenis AsterisDimitris S. PapailiopoulosGeorge N. KarystinosPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- principal components
- null space
- principal component analysis
- coefficient matrix
- low rank approximation
- covariance matrix
- singular value decomposition
- sparse matrix
- singular vectors
- dimensionality reduction
- singular values
- multivariate data
- hyperplane
- kernel space
- principal component regression
- rank minimization
- low rank
- correlation coefficient
- low rank matrix
- nuclear norm minimization
- high dimensional
- random projections
- eigenvalue decomposition
- sparse representation
- feature set
- neural network
- feature extraction