Detecting different sub-types of acute myelogenous leukemia using dictionary learning and sparse representation.
Omid SarrafzadehHossein RabbaniAlireza Mehri DehnaviArdeshir TalebiPublished in: ICIP (2015)
Keyphrases
- dictionary learning
- sparse representation
- sparse coding
- image super resolution
- image classification
- reconstruction error
- face recognition
- compressed sensing
- random projections
- image representation
- single image super resolution
- signal processing
- group sparsity
- compressive sensing
- image patches
- high dimensional data
- dimensionality reduction
- negative matrix factorization
- sparsity constraints
- natural images
- training data
- feature extraction
- learning algorithm
- neural network
- data sets