Convolutional Gaussian Mixture Models with Application to Compressive Sensing.
Ren WangXuejun LiaoJingbo GuoPublished in: SSP (2018)
Keyphrases
- raw data
- gaussian mixture model
- compressive sensing
- mixture model
- random projections
- expectation maximization
- em algorithm
- pattern recognition
- maximum likelihood
- gaussian distribution
- sparse representation
- compressive sampling
- image recovery
- dictionary learning
- computer vision
- nearest neighbor
- training set
- image processing