A Survey on Nonconvex Regularization-Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning.
Fei WenLei ChuPeilin LiuRobert C. QiuPublished in: IEEE Access (2018)
Keyphrases
- statistics and machine learning
- signal processing
- computer vision
- statistical learning
- data analysis
- data mining
- image restoration and reconstruction
- fourier transform
- image processing
- objective function
- pattern recognition
- global optimization
- nonlinear programming
- optimization problems
- image recovery
- neural network
- recovery algorithm
- signal analysis
- high dimensional
- convex optimization
- prior information
- filter bank
- mixed integer nonlinear programming
- regularization parameter
- compressive sensing
- regularization term
- denoising