Deep Semi-Supervised Metric Learning Via Identification of Manifold Memberships.
Furen ZhuangPierre MoulinPublished in: ICASSP (2021)
Keyphrases
- metric learning
- semi supervised
- manifold structure
- manifold learning
- distance metric learning
- semi supervised learning
- semi supervised clustering
- pairwise
- labeled data
- graph embedding
- unsupervised learning
- unlabeled data
- pairwise constraints
- dimensionality reduction
- active learning
- kernel matrix
- distance metric
- supervised learning
- subspace learning
- semi supervised classification
- learning tasks
- nonlinear dimensionality reduction
- fully supervised
- data sets
- low rank
- text categorization
- feature space
- distance function
- low dimensional
- laplacian eigenmaps
- mahalanobis metric
- subject to linear constraints
- labeled and unlabeled data
- high dimensional
- data mining