Sparse representation of 3D images for piecewise dimensionality reduction with high quality reconstruction.
Laura Rebollo-NeiraDaniel WhitehousePublished in: Array (2019)
Keyphrases
- sparse representation
- dimensionality reduction
- high quality
- compressed sensing
- reconstruction error
- compressive sensing
- sparse reconstruction
- high dimensional data
- random projections
- dictionary learning
- sparse coding
- subspace learning
- high dimensional
- principal component analysis
- manifold learning
- data representation
- joint optimization
- high dimensionality
- data points
- image patches
- high resolution
- feature extraction
- lower dimensional
- regularized least squares
- pattern recognition
- sparse approximations
- image super resolution
- sparsity constraints
- single image super resolution
- unsupervised learning
- low dimensional
- singular value decomposition
- feature space
- feature selection
- negative matrix factorization
- image classification
- signal processing
- dimension reduction
- image reconstruction
- face recognition
- test images
- neural network