A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach.
Rakesh Kumar SanodiyaSriparna SahaJimson MathewPublished in: Expert Syst. Appl. (2019)
Keyphrases
- distance metric learning
- semi supervised
- relative distance
- metric learning
- kernel learning
- kernel matrix
- semi supervised learning
- labeled data
- unlabeled data
- pairwise constraints
- pairwise
- view angle
- distance metric
- supervised learning
- active learning
- manifold learning
- feature space
- low rank
- component analysis
- semidefinite programming
- kernel function
- unsupervised learning
- nonlinear dimensionality reduction
- image classification
- support vector
- kernel methods
- gaussian process
- distance function
- gender classification
- multi class