Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals.
Ishan WickramasinghaAhmed ElrewainyMichael SobhySherif S. SherifPublished in: Neural Comput. (2020)
Keyphrases
- sparse representation
- multidimensional signals
- dimensionality reduction
- dictionary learning
- image compression
- high order
- sparse coding
- image classification
- color images
- variable selection
- negative matrix factorization
- reconstruction error
- high dimensional data
- image patches
- compressed sensing
- higher order
- signal processing
- sparse reconstruction
- random projections
- compressive sensing
- image representation
- face recognition
- manifold learning
- joint optimization
- regularized least squares
- subspace learning
- norm minimization
- object tracking
- cross validation
- high dimensional
- feature space
- neural network
- principal component analysis
- image data
- structure tensor
- multiresolution
- feature selection