A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction.
Zhao ZhangCheng-Lin LiuMing-Bo ZhaoPublished in: ACM Trans. Intell. Syst. Technol. (2015)
Keyphrases
- low rank
- sparsity constraints
- feature extraction
- robust principal component analysis
- rank minimization
- low rank matrix
- feature selection
- matrix completion
- convex optimization
- high order
- missing data
- low rank matrices
- linear combination
- regularized regression
- high dimensional
- learning algorithm
- pattern recognition
- low rank subspace
- nuclear norm
- sparse coding
- singular value decomposition
- semi supervised
- feature space