Compressive Sensing via Low-Rank Gaussian Mixture Models.
Xin YuanHong JiangGang HuangPaul A. WilfordPublished in: CoRR (2015)
Keyphrases
- gaussian mixture model
- compressive sensing
- low rank
- trace norm
- convex optimization
- linear combination
- random projections
- mixture model
- matrix factorization
- missing data
- singular value decomposition
- sparse representation
- group sparsity
- high dimensional data
- signal processing
- semi supervised
- maximum likelihood
- image representation
- em algorithm
- high order
- feature vectors
- feature space
- expectation maximization
- structured sparsity
- probability density function
- pairwise
- similarity measure
- dimensionality reduction
- image reconstruction
- generative model
- data sets