Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models.
Zhaoqiang LiuJonathan ScarlettPublished in: IEEE J. Sel. Areas Inf. Theory (2020)
Keyphrases
- information theoretic
- generative model
- compressive sensing
- lower bound
- upper bound
- information theory
- mutual information
- random projections
- sparse representation
- probabilistic model
- bayesian framework
- image representation
- mixture model
- prior knowledge
- em algorithm
- objective function
- signal processing
- semi supervised
- sparse coding
- expectation maximization
- image registration
- topic models
- data sets
- image reconstruction
- low dimensional
- dimensionality reduction
- higher order
- maximum entropy
- computer vision
- machine learning