Deep Learning-Enabled Non-convex Optimization: Encoder-Decoder Forecasting and ADMM Solver.
Wanying ZhangWenming CaoJianhua JiPublished in: CVDL (2024)
Keyphrases
- convex optimization
- deep learning
- alternating direction method of multipliers
- total variation
- unsupervised learning
- motion estimation
- low rank
- machine learning
- interior point methods
- rate distortion
- bit rate
- convex relaxation
- primal dual
- mental models
- denoising
- data mining
- norm minimization
- augmented lagrangian method
- object recognition
- weakly supervised
- image restoration
- supervised learning
- learning algorithm
- augmented lagrangian
- total variation regularization
- basis pursuit