A multi-task framework for metric learning with common subspace.
Peipei YangKaizhu HuangCheng-Lin LiuPublished in: Neural Comput. Appl. (2013)
Keyphrases
- multi task
- metric learning
- distance metric learning
- multi task learning
- learning tasks
- multi class
- learning problems
- feature selection
- dimensionality reduction
- transfer learning
- sparse learning
- semi supervised
- learning algorithm
- feature space
- feature extraction
- gaussian processes
- multiple kernel learning
- principal component analysis
- support vector machine
- low dimensional
- high dimensional
- distance metric
- pairwise
- training data
- face recognition
- kernel matrix
- neural network