L1 norm based KPCA for novelty detection.
Yingchao XiaoHuangang WangWenli XuJunwu ZhouPublished in: Pattern Recognit. (2013)
Keyphrases
- novelty detection
- text filtering
- anomaly detection
- sentence level
- kernel methods
- kernel principal component analysis
- face recognition
- kernel pca
- feature vectors
- nearest neighbor
- concept drift
- discriminant analysis
- kernel fisher discriminant
- support vector data description
- minimum volume
- linear discriminant analysis
- kernel function
- feature space
- kernel matrix
- learning algorithm
- natural language processing
- image processing