Understanding Hyperbolic Metric Learning through Hard Negative Sampling.
Yun YueFangzhou LinGuanyi MouZiming ZhangPublished in: CoRR (2024)
Keyphrases
- metric learning
- distance metric
- distance metric learning
- pairwise
- semi supervised
- multi task
- learning tasks
- dimensionality reduction
- semi supervised clustering
- nearest neighbor classification
- machine learning and pattern recognition
- distance function
- mahalanobis metric
- kernel matrix
- random sampling
- semi supervised learning
- feature space
- semi definite programming
- maximum variance unfolding
- euclidean distance
- data mining
- sample size
- labeled data
- active learning
- feature extraction
- image processing
- feature selection
- computer vision