Kernel group sparse representation classifier via structural and non-convex constraints.
Jianwei ZhengHong QiuWeiguo ShengXi YangHongchuan YuPublished in: Neurocomputing (2018)
Keyphrases
- sparse representation
- convex constraints
- dictionary learning
- feature space
- support vector
- sparse coding
- linear classifiers
- image classification
- face recognition
- image representation
- multiple kernel learning
- training data
- signal processing
- global consistency
- convex optimization
- dimensionality reduction
- image patches
- svm classifier
- feature extraction
- support vector machine
- kernel function
- feature selection
- training samples
- high dimensional data
- kernel matrix
- machine learning
- decision trees
- quadratic program
- learning algorithm