Learning subspace kernels for classification.
Jianhui ChenShuiwang JiBetul CeranQi LiMingrui WuJieping YePublished in: KDD (2008)
Keyphrases
- incremental learning
- unsupervised learning
- supervised learning
- feature space
- learning tasks
- classification accuracy
- learning process
- learning algorithm
- kernel learning
- online learning
- pattern recognition
- machine learning
- feature selection
- active learning
- support vector
- reinforcement learning
- classification method
- decision trees
- margin maximization
- training set
- kernel machines
- subspace clustering
- classification models
- kernel function
- linear combination
- face recognition
- feature extraction
- low dimensional
- feature set