Subspace Segmentation by Successive Approximations: A Method for Low-Rank and High-Rank Data with Missing Entries.
João CarvalhoManuel MarquesJoão Paulo CosteiraPublished in: CoRR (2017)
Keyphrases
- low rank
- missing data
- rank minimization
- missing entries
- affinity matrix
- matrix completion
- missing values
- input data
- high dimensional data
- data sets
- spectral clustering
- eigendecomposition
- low rank matrix
- high order
- matrix factorization
- low rank approximation
- linear combination
- data points
- data analysis
- tensor decomposition
- nuclear norm
- low rank matrices
- auxiliary information
- dimensionality reduction
- small number
- pairwise
- pattern recognition
- image processing