Supervised data-dependent kernel sparsity preserving projection for image recognition.
Ao ZhangXianwen GaoPublished in: Appl. Intell. (2018)
Keyphrases
- image recognition
- data dependent
- reproducing kernel hilbert space
- pattern recognition
- rademacher complexity
- image classification
- generalization bounds
- face recognition
- kernel function
- semi supervised
- sparse representation
- kernel machines
- kernel methods
- feature space
- learning algorithm
- high dimensional
- risk bounds
- supervised learning
- active learning
- support vector
- pavement distress
- unsupervised learning
- image retrieval
- energy functional
- support vector machine