Case study of principal component inverse and cross spectral metric for low rank interference adaptation.
Brian E. FreburgerDonald W. TuftsPublished in: ICASSP (1998)
Keyphrases
- low rank
- principal components
- principal component analysis
- singular value decomposition
- dimensionality reduction
- missing data
- linear combination
- matrix factorization
- low rank matrix
- convex optimization
- high dimensional data
- rank minimization
- matrix completion
- semi supervised
- matrix decomposition
- high order
- distance measure
- kernel matrix
- principal component regression
- covariance matrix
- metric learning
- low rank matrices
- hyperplane
- trace norm
- singular values
- feature set
- nonnegative matrix factorization