INK-SVD: Learning incoherent dictionaries for sparse representations.
Boris MailhéDaniele BarchiesiMark D. PlumbleyPublished in: ICASSP (2012)
Keyphrases
- sparse representation
- dictionary learning
- dimensionality reduction
- single image super resolution
- learning problems
- image patches
- supervised learning
- image classification
- sparse coding
- test images
- sparse learning
- regularized least squares
- random projections
- neural network
- unsupervised learning
- data analysis
- machine learning