Robust Image Feature Extraction via Approximate Orthogonal Low-Rank Embedding.
Cong FuZhigui LiuLi LiPublished in: IEEE Access (2020)
Keyphrases
- low rank
- image feature extraction
- rank minimization
- low rank matrix
- matrix factorization
- robust principal component analysis
- convex optimization
- linear combination
- missing data
- singular value decomposition
- matrix completion
- feature extraction
- high dimensional data
- semi supervised
- data sets
- high order
- detection algorithm
- collaborative filtering
- image processing
- computer vision
- higher order
- image indexing
- image data
- image retrieval
- multiscale