Similarity Metric Learning for a Variable-Kernel Classifier.
David G. LowePublished in: Neural Comput. (1995)
Keyphrases
- similarity metric
- learning algorithm
- learning process
- support vector
- sample selection bias
- learning phase
- learning tasks
- feature selection
- learning problems
- pairwise
- active learning
- multi class
- dimensionality reduction
- training samples
- reinforcement learning
- decision trees
- similarity measurement
- component analysis
- kernel learning
- kernel machines
- bayesian network classifiers
- neural network