Nonnegative Low-rank Sparse Component Analysis.
Jeremy E. CohenNicolas GillisPublished in: ICASSP (2019)
Keyphrases
- low rank
- matrix decomposition
- data matrix
- matrix factorization
- low rank matrix
- nonnegative matrix factorization
- convex optimization
- linear combination
- missing data
- singular value decomposition
- matrix completion
- tensor factorization
- high dimensional data
- kernel matrix
- semi supervised
- rank minimization
- high order
- trace norm
- minimization problems
- robust principal component analysis
- unsupervised feature selection
- linear programming
- low rank matrices
- collaborative filtering
- recommender systems
- objective function
- singular values
- data representation
- norm minimization
- higher order
- least squares
- small number
- non rigid structure from motion
- low rank representation