Partial Trace Regression and Low-Rank Kraus Decomposition.
Hachem KadriStéphane AyacheRiikka HuusariAlain RakotomamonjyLiva RalaivolaPublished in: CoRR (2020)
Keyphrases
- low rank
- tensor decomposition
- convex optimization
- missing data
- linear combination
- matrix factorization
- low rank matrix
- matrix completion
- singular value decomposition
- high dimensional data
- rank minimization
- regression model
- semi supervised
- matrix decomposition
- kernel matrix
- trace norm
- high order
- reproducing kernel hilbert space
- binary matrix
- singular values
- image processing
- low rank matrices
- affinity matrix
- support vector
- model selection
- pairwise
- data sets
- robust principal component analysis
- regularized regression