Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle.
Lijun DingYuqian ZhangYudong ChenPublished in: CoRR (2020)
Keyphrases
- gradient method
- low rank matrix recovery
- low rank
- convergence rate
- negative matrix factorization
- low rank and sparse
- object detection
- robust face recognition
- sparse representation
- step size
- optimization methods
- convex optimization
- pairwise
- machine learning
- objective function
- matrix factorization
- low rank matrix
- convergence speed
- pattern recognition
- missing data
- unsupervised learning
- face recognition
- generative model
- image classification
- image features
- computer vision