Optimal estimation of low rank density matrices.
Vladimir KoltchinskiiDong XiaPublished in: J. Mach. Learn. Res. (2015)
Keyphrases
- low rank
- matrix completion
- low rank matrix
- singular value decomposition
- data matrix
- singular values
- matrix decomposition
- matrix factorization
- missing data
- convex optimization
- eigendecomposition
- frobenius norm
- linear combination
- low rank approximation
- kernel matrix
- semi supervised
- high dimensional data
- low rank matrices
- low rank and sparse
- rank minimization
- affinity matrix
- high order
- trace norm
- binary matrices
- regularized regression
- closed form solutions
- binary matrix
- original data
- measurement matrix
- convex relaxation
- training set
- pattern recognition
- robust principal component analysis
- face recognition