DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
Lifang HeXiangnan KongPhilip S. YuXiaowei YangAnn B. RaginZhifeng HaoPublished in: SDM (2014)
Keyphrases
- structure preserving
- learning algorithm
- supervised learning
- unsupervised learning
- learning systems
- machine learning
- neural network
- inductive inference
- support vector
- online learning
- semi supervised
- dimensionality reduction
- kernel machines
- high order
- data sets
- learning process
- reinforcement learning
- active learning
- high dimensional
- learning problems
- gaussian processes
- decision trees
- kernel learning
- image processing
- multiple kernel
- feature selection