Kernel self-optimization learning for kernel-based feature extraction and recognition.
Jun-Bao LiYun-Heng WangShu-Chuan ChuJohn F. RoddickPublished in: Inf. Sci. (2014)
Keyphrases
- feature extraction
- kernel machines
- reinforcement learning
- visual recognition
- learning process
- learning algorithm
- multiple kernel
- learning systems
- online learning
- recognition rate
- supervised learning
- wavelet transform
- active learning
- support vector
- support vector machine
- feature vectors
- feature space
- visual learning
- machine learning
- feature extractor
- feature extractors