Reconstruction of jointly sparse vectors via manifold optimization.
Armenak PetrosyanHoang TranClayton G. WebsterPublished in: CoRR (2018)
Keyphrases
- compressed sensing
- high dimensional
- lower dimensional
- optimization algorithm
- compressive sensing
- optimization problems
- optimization process
- sparse pca
- image reconstruction
- sparse reconstruction
- feature vectors
- feature space
- smooth manifold
- binary matrices
- high dimension
- random projections
- euclidean space
- sparse representation
- sparse coding
- global optimization
- manifold structure
- basis vectors
- tomographic reconstruction
- discrete tomography
- sparsity constraints
- optimization method
- low dimensional
- evolutionary algorithm