Convergence of proximal algorithms with stepsize controls for non-linear inverse problems and application to sparse non-negative matrix factorization.
Pham Quy MuoiDelf LachmundDinh Nho HàoPublished in: Numer. Algorithms (2020)
Keyphrases
- matrix factorization
- inverse problems
- convergence rate
- step size
- nonnegative matrix factorization
- collaborative filtering
- optimization problems
- image reconstruction
- recommender systems
- optimization methods
- computationally expensive
- factorization methods
- genetic algorithm
- missing data
- image classification
- convex optimization
- multi objective
- optical flow
- multiresolution
- evolutionary algorithm