On the eigenvalues of matrices for the reconstruction of missing uniform samples.
M. KarthikK. M. M. PrabhuPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- singular value decomposition
- eigenvalues and eigenvectors
- symmetric matrices
- correlation matrix
- reconstruction error
- eigendecomposition
- singular values
- binary matrices
- missing data
- sparsely sampled
- image reconstruction
- covariance matrices
- three dimensional
- principal components
- compressed sensing
- data sets
- training samples
- reconstruction process
- discrete tomography
- training set
- covariance matrix
- high resolution
- multi view
- sample set
- high dimensional
- pairwise
- learning algorithm