Low-Rank Transfer Subspace Learning.
Ming ShaoCarlos CastilloZhenghong GuYun FuPublished in: ICDM (2012)
Keyphrases
- low rank
- subspace learning
- high dimensional data
- semi supervised
- dimensionality reduction
- linear combination
- manifold learning
- singular value decomposition
- missing data
- low dimensional
- sparse coding
- matrix factorization
- low rank approximation
- data representation
- convex optimization
- principal component analysis
- linear subspace
- kernel matrix
- high order
- background modeling
- robust face recognition
- transfer learning
- face recognition
- active learning
- sparse representation
- unsupervised learning
- high dimensional
- data sets
- learning algorithm
- data points
- supervised learning
- data mining
- neural network
- data analysis
- feature space