Memory efficient low-rank non-linear subspace tracking.
Fatemeh SheikholeslamiDimitris BerberidisGeorgios B. GiannakisPublished in: CAMSAP (2017)
Keyphrases
- memory efficient
- low rank
- low rank representation
- rank minimization
- high dimensional data
- eigendecomposition
- matrix factorization
- linear combination
- affinity matrix
- matrix completion
- convex optimization
- missing data
- low rank matrix
- semi supervised
- singular value decomposition
- kernel matrix
- regularized regression
- low dimensional
- dimensionality reduction
- high dimensional
- subspace clustering
- matrix decomposition
- object tracking
- trace norm
- data sets
- principal component analysis
- singular values
- high order
- particle filter
- minimization problems
- low rank matrices
- video surveillance
- human detection
- motion segmentation
- collaborative filtering
- data points
- appearance model
- least squares
- nearest neighbor
- active learning
- pairwise