Transfer subspace learning via low-rank and discriminative reconstruction matrix.
Parvin RazzaghiParisa RazzaghiKarim AbbasiPublished in: Knowl. Based Syst. (2019)
Keyphrases
- low rank
- subspace learning
- semi supervised
- high dimensional data
- dimensionality reduction
- manifold learning
- singular value decomposition
- low rank matrix
- matrix completion
- low rank approximation
- linear combination
- sparse coding
- reconstruction error
- rank minimization
- pairwise
- unsupervised learning
- missing data
- kernel matrix
- trace norm
- linear subspace
- active learning
- generative model
- singular values
- robust face recognition
- principal component analysis
- supervised learning
- matrix factorization
- transfer learning
- metric learning
- low dimensional
- high dimensional
- data sets
- nearest neighbor
- high order
- pattern recognition
- high resolution
- convex optimization
- face recognition
- computer vision
- image classification
- machine learning