Low-Rank Tensor Data Reconstruction and Denoising via ADMM: Algorithm and Convergence Analysis.
Jonathan PopaYifei LouSusan E. MinkoffPublished in: J. Sci. Comput. (2023)
Keyphrases
- convergence analysis
- low rank
- missing data
- data sets
- input data
- denoising
- learning algorithm
- trace norm
- small number
- optimization algorithm
- np hard
- training data
- particle swarm optimization
- high dimensional data
- data analysis
- convergence rate
- convex optimization
- optimality conditions
- image processing
- matrix completion
- high order
- machine learning