Low-Rank Correlation Analysis for Discriminative Subspace Learning.
Jiacan ZhengZhihui LaiJianglin LuJie ZhouPublished in: ACPR (2) (2021)
Keyphrases
- low rank
- subspace learning
- correlation analysis
- semi supervised
- high dimensional data
- manifold learning
- dimensionality reduction
- regression analysis
- unsupervised learning
- cluster analysis
- pairwise
- factor analysis
- matrix factorization
- correlation coefficient
- missing data
- active learning
- supervised learning
- convex optimization
- singular value decomposition
- low rank approximation
- generative model
- robust face recognition
- linear subspace
- linear combination
- low dimensional
- feature extraction
- high order
- data representation
- data analysis
- least squares
- principal component analysis
- sparse coding
- text classification
- data points
- multiscale
- feature selection
- learning algorithm
- neural network