Semi-supervised metric learning incorporating weighted triplet constraint and Riemannian manifold optimization for classification.
Yizhe XiaHongjuan ZhangPublished in: Mach. Vis. Appl. (2024)
Keyphrases
- metric learning
- semi supervised
- supervised learning
- semi supervised clustering
- pairwise constraints
- feature space
- semi supervised learning
- riemannian manifolds
- pairwise
- unsupervised learning
- kernel machines
- labeled and unlabeled data
- labeled data
- distance metric
- unlabeled data
- pattern recognition
- machine learning
- learning tasks
- kernel learning
- euclidean space
- reproducing kernel hilbert space
- active learning
- training set
- manifold learning
- low rank
- image classification
- multi task
- kernel matrix
- geodesic distance
- text classification
- support vector machine
- learning problems
- gaussian process
- feature vectors
- data sets
- feature set
- markov random field
- reinforcement learning
- feature selection
- class labels