Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning.
Minghua WanYu YaoTianming ZhanGuowei YangPublished in: IEEE Trans. Circuits Syst. Video Technol. (2022)
Keyphrases
- low rank
- subspace learning
- semi supervised
- rank minimization
- low rank matrix
- high dimensional data
- low rank approximation
- dimensionality reduction
- manifold learning
- convex optimization
- singular value decomposition
- matrix completion
- robust face recognition
- learning algorithm
- missing data
- unsupervised learning
- subspace learning algorithm
- linear combination
- supervised learning
- low dimensional
- matrix factorization
- linear subspace
- kernel matrix
- sparse representation
- pairwise
- principal component analysis
- high dimensional
- neural network
- data representation
- feature selection
- data analysis
- background modeling
- machine learning
- data points
- high order
- generative model
- data sets
- image retrieval
- sparse coding
- dimension reduction