Dictionary Learning for High Dimensional Graph Signals.
Yael YankelevskyMichael EladPublished in: ICASSP (2018)
Keyphrases
- dictionary learning
- sparse coding
- high dimensional
- sparse representation
- natural images
- graph embedding
- image super resolution
- group sparsity
- signal processing
- dimensionality reduction
- object category recognition
- image classification
- high dimensional data
- unsupervised learning
- linear combination
- low dimensional
- variable selection
- dictionary learning for sparse
- manifold learning
- machine learning
- image patches
- similarity search
- nearest neighbor
- feature space
- parameter space
- text classification
- higher order
- structured sparsity
- data points
- pairwise