Low-Rank Projections of GCNs Laplacian.
Nathan GrinsztajnPhilippe PreuxEdouard OyallonPublished in: CoRR (2021)
Keyphrases
- low rank
- high order
- convex optimization
- missing data
- linear combination
- singular value decomposition
- matrix factorization
- matrix completion
- low rank matrix
- semi supervised
- high dimensional data
- matrix decomposition
- kernel matrix
- binary matrices
- rank minimization
- binary matrix
- trace norm
- low rank matrices
- non rigid structure from motion
- singular values
- data matrix
- higher order
- pattern recognition
- robust principal component analysis
- discrete tomography
- graph laplacian
- sparse coding
- image classification
- markov random field
- data analysis