Subspace Learning Based Low-Rank Representation.
Kewei TangXiaodong LiuZhixun SuWei JiangJiangxin DongPublished in: ACCV (1) (2016)
Keyphrases
- subspace learning
- low rank representation
- linear subspace
- low rank
- dimensionality reduction
- low dimensional
- data representation
- semi supervised
- principal component analysis
- manifold learning
- face recognition
- sparse coding
- high dimensional data
- learning algorithm
- sparse representation
- linear combination
- pattern recognition
- neural network
- machine learning
- data analysis
- feature selection
- matrix factorization
- spectral clustering
- higher order
- least squares
- probabilistic model