Generalized Transfer Subspace Learning Through Low-Rank Constraint.
Ming ShaoDmitry KitYun FuPublished in: Int. J. Comput. Vis. (2014)
Keyphrases
- low rank
- subspace learning
- high dimensional data
- semi supervised
- dimensionality reduction
- low rank approximation
- linear combination
- singular value decomposition
- sparse coding
- matrix factorization
- convex optimization
- manifold learning
- missing data
- low dimensional
- sparse representation
- kernel matrix
- data representation
- data sets
- rank minimization
- high order
- robust face recognition
- principal component analysis
- nearest neighbor
- supervised learning
- data points
- high dimensional
- face recognition
- data analysis
- learning algorithm
- background modeling
- linear subspace
- transfer learning
- image classification
- pattern recognition
- metric learning
- pairwise
- image segmentation
- dimension reduction
- collaborative filtering
- data mining
- neural network