Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning.
ByungSoo KoGeonmo GuPublished in: CoRR (2020)
Keyphrases
- embedding space
- metric learning
- dimensionality reduction
- kernel matrix
- manifold structure
- manifold learning
- graph embedding
- low dimensional
- semi supervised
- distance metric
- high dimensional
- euclidean space
- feature space
- data points
- input space
- euclidean distance
- high dimensional data
- distance function
- nonlinear dimensionality reduction
- principal component analysis
- pairwise
- learning tasks
- pattern recognition
- unsupervised learning
- geometric structure
- semidefinite programming
- feature extraction
- data representation
- subspace learning
- dimensionality reduction methods
- multi task
- feature selection
- dimension reduction
- geodesic distance
- labeled data
- pairwise constraints
- locally linear embedding
- linear discriminant analysis
- riemannian manifolds
- feature representation
- data sets
- semi supervised learning
- positive semidefinite