Nonparametric kernel sparse representation-based classifier.
Alireza EsmaeilzehiHamid Abrishami MoghaddamPublished in: Pattern Recognit. Lett. (2017)
Keyphrases
- classification algorithm
- support vector
- feature space
- kernel density estimation
- density estimates
- linear classifiers
- kernel function
- sparse representation
- training set
- multiple kernel learning
- data driven
- density estimation
- decision function
- feature set
- class labels
- classification process
- training data
- kernel density estimator
- learning classifier systems
- parzen window
- dictionary learning
- sparse coding
- kernel classifiers
- compressive sensing
- training samples
- kernel machines
- rbf kernel
- support vector machine
- feature selection
- kernel density
- nonparametric density estimation
- nadaraya watson
- kernel regression
- decision boundary
- kernel methods
- svm classifier
- support vector machine svm
- face recognition