Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit.
Thiago Alberto Rigo PassarinMarcelo Victor Wüst ZibettiDaniel Rodrigues PipaPublished in: Sensors (2018)
Keyphrases
- low rank approximation
- ultrasound imaging
- singular value decomposition
- ultrasound images
- low rank
- subspace learning
- convex optimization
- spectral clustering
- kernel matrix
- manifold learning
- iterative algorithms
- volume data
- nonnegative matrix factorization
- imaging systems
- low dimensional
- adjacency matrix
- high dimensional
- image processing
- feature space
- pairwise
- convex relaxation
- dimensionality reduction
- weighted graph
- dynamic programming
- feature selection
- pattern recognition
- semi supervised
- kernel methods
- least squares
- multiscale