Compressed sensing using generative models based on fisher information.
Meng WangJing YuZhen-Hu NingChuangbai XiaoPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- generative model
- random projections
- image reconstruction
- sparse representation
- probabilistic model
- mixture model
- probability density function
- bayesian framework
- natural images
- hidden variables
- em algorithm
- dimensionality reduction
- topic models
- semi supervised
- prior knowledge
- dimension reduction
- support vector
- multidimensional scaling
- exponential family
- image patches
- unsupervised learning
- nearest neighbor
- object recognition