Low Rank Co-Diagonal Matrices and Ramsey Graphs.
Vince GrolmuszPublished in: Electron. J. Comb. (2000)
Keyphrases
- low rank
- matrix completion
- low rank matrix
- singular value decomposition
- data matrix
- matrix decomposition
- singular values
- frobenius norm
- convex optimization
- matrix factorization
- missing data
- linear combination
- eigendecomposition
- low rank matrices
- low rank approximation
- low rank and sparse
- semi supervised
- affinity matrix
- rank minimization
- kernel matrix
- high dimensional data
- graph matching
- minimization problems
- high order
- protein interaction networks
- norm minimization
- covariance matrix
- binary matrices
- rows and columns
- dimensionality reduction
- small number
- data mining
- robust principal component analysis