Statistical compressive sensing of Gaussian mixture models.
Guoshen YuGuillermo SapiroPublished in: ICASSP (2011)
Keyphrases
- gaussian mixture model
- compressive sensing
- mixture model
- sparse representation
- maximum likelihood criterion
- image recovery
- speaker recognition
- random projections
- feature vectors
- maximum likelihood
- compressive sampling
- image representation
- em algorithm
- probability density function
- signal processing
- expectation maximization
- feature space
- data sets
- image classification
- prior knowledge
- training set
- face recognition
- learning algorithm
- generative model
- nearest neighbor
- active learning
- original data
- reinforcement learning
- neural network