Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation.
Shuping ZhaoJigang WuBob ZhangLunke FeiPublished in: Pattern Recognit. (2022)
Keyphrases
- feature representation
- low rank
- sparse representation
- high dimensional data
- linear combination
- low dimensional
- matrix factorization
- missing data
- feature extraction
- convex optimization
- matrix completion
- high dimensional
- semi supervised
- singular value decomposition
- face recognition
- regularized regression
- feature set
- high order
- dimensionality reduction
- data sets
- negative matrix factorization
- similarity measure
- principal component analysis
- least squares
- nearest neighbor
- active learning
- data analysis
- multiscale
- neural network