Classification with Incoherent Kernel Dictionary Learning.
Denis C. Ilie-AblachimBogdan DumitrescuPublished in: CSCS (2021)
Keyphrases
- dictionary learning
- sparse representation
- sparse coding
- object category recognition
- class specific
- support vector
- feature space
- decision trees
- machine learning
- feature selection
- group sparsity
- image classification
- dictionary learning for sparse
- multiple kernel learning
- image representation
- unsupervised learning
- natural images
- supervised learning
- nearest neighbor
- feature vectors
- feature extraction