The Effect of Intrinsic Dimension on Metric Learning under Compression.
Efstratios PaliasAta KabánPublished in: CoRR (2023)
Keyphrases
- metric learning
- intrinsic dimension
- distance metric
- learning tasks
- dimensionality reduction
- semi supervised
- pairwise
- distance function
- mahalanobis metric
- high dimensions
- feature space
- intrinsic dimensionality
- multi task
- nearest neighbor
- high dimensional data
- diffusion maps
- semi supervised learning
- data points
- neural network
- high dimensional
- similarity search
- labeled data
- noisy data
- low dimensional
- distance measure
- k means
- image segmentation
- data mining