Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.
Hongda ShenW. David PanYuhang DongZhuocheng JiangPublished in: IGARSS (2017)
Keyphrases
- parameter learning
- hyperspectral image compression
- generative model
- bayesian networks
- structure learning
- conditional random fields
- statistical learning
- approximate inference
- maximum likelihood
- em algorithm
- parameter estimation
- probabilistic graphical models
- graphical models
- coding scheme
- expectation maximization
- coding method
- markov random field
- hidden variables
- entropy coding
- learning algorithm
- lossless compression
- entropy constrained
- probabilistic model
- information extraction
- training data
- information theory
- machine learning
- subband