Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation.
Liran YangQinghua ZhouBin LuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- low rank
- subspace learning
- high dimensional data
- semi supervised
- low rank approximation
- dimensionality reduction
- missing data
- low dimensional
- linear combination
- manifold learning
- singular value decomposition
- matrix factorization
- convex optimization
- kernel matrix
- high dimensional
- high order
- face recognition
- data representation
- sparse representation
- linear subspace
- sparse coding
- principal component analysis
- pairwise
- learning algorithm
- active learning
- feature space
- background modeling
- pattern recognition
- dimension reduction
- natural images
- supervised learning
- nearest neighbor
- data points
- machine learning
- robust face recognition
- neural network