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