Efficient low-rank regularization-based algorithms combining advanced techniques for solving tensor completion problems with application to color image recovering.
Xueshuang MaShenglong HuJie WangPublished in: J. Comput. Appl. Math. (2023)
Keyphrases
- frobenius norm
- low rank
- minimization problems
- matrix completion
- convex optimization
- convex optimization problems
- trace norm
- rank minimization
- missing data
- linear combination
- matrix factorization
- low rank matrix
- color images
- theoretical guarantees
- low rank approximation
- interior point
- high order
- pattern recognition
- machine learning
- learning algorithm