Classification with Incoherent Kernel Dictionary Learning.
Denis C. Ilie-AblachimBogdan DumitrescuPublished in: CoRR (2023)
Keyphrases
- dictionary learning
- sparse representation
- sparse coding
- object category recognition
- feature space
- class specific
- group sparsity
- pattern recognition
- support vector
- kernel methods
- feature vectors
- machine learning
- text classification
- image classification
- data sets
- linear combination
- dimensionality reduction
- support vector machine
- feature selection
- kernel learning
- sparse codes
- learning algorithm
- dictionary learning for sparse