Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning.
Fei WenLei ChuPeilin LiuRobert C. QiuPublished in: CoRR (2018)
Keyphrases
- signal processing
- statistics and machine learning
- computer vision
- statistical learning
- image restoration and reconstruction
- data analysis
- data mining
- image processing
- fourier transform
- convex optimization
- signal analysis
- global optimization
- recovery algorithm
- regularization term
- pattern recognition
- nonlinear programming
- regularization parameter
- image recovery
- markov random field
- objective function
- prior information
- filter bank
- image segmentation
- sparse representation
- compressive sensing
- loss function
- model selection
- training data