Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning.
Baicheng PanChuandong LiHangjun ChePublished in: Neural Networks (2023)
Keyphrases
- multi view
- low rank
- subspace learning
- semi supervised
- low rank approximation
- dimensionality reduction
- convex optimization
- high dimensional data
- high order
- manifold learning
- multiple views
- semi supervised learning
- singular value decomposition
- active learning
- missing data
- labeled data
- pairwise
- linear subspace
- linear combination
- data representation
- matrix factorization
- low dimensional
- supervised learning
- generative model
- higher order
- face recognition
- pattern recognition
- unsupervised learning
- three dimensional
- feature extraction
- principal component analysis
- high dimensionality
- linear discriminant analysis
- feature vectors
- d objects
- learning algorithm