Kernel-target alignment based non-linear metric learning.
Yonghui XuChunyan MiaoYong LiuHengjie SongYi HuHuaqing MinPublished in: Neurocomputing (2020)
Keyphrases
- metric learning
- kernel matrix
- positive semidefinite
- feature space
- distance metric learning
- kernel learning
- distance metric
- positive semi definite
- kernel trick
- semi supervised
- learning tasks
- multi task
- dimensionality reduction
- pairwise
- machine learning and pattern recognition
- semi supervised clustering
- kernel function
- neural network
- mahalanobis metric
- semidefinite programming
- kernel methods
- distance function
- kernel pca
- semi supervised learning
- support vector
- learning problems
- input space
- component analysis
- similarity function
- euclidean distance
- text categorization
- data sets