Neural Metric Learning using Contrastive Anchors to Enforce Feature Separability.
Charlie T. VealMarshall LindsayScott D. KovaleskiDerek T. AndersonStanton R. PricePublished in: SSCI (2021)
Keyphrases
- metric learning
- dimensionality reduction
- multiple features
- distance metric
- distance metric learning
- pairwise
- nearest neighbor classification
- semi supervised
- learning tasks
- machine learning and pattern recognition
- person re identification
- semi supervised clustering
- distance function
- neural network
- feature space
- preprocessing step
- multi task
- e learning
- semi supervised learning
- manifold learning
- low dimensional
- feature set
- image features
- pattern recognition
- maximum variance unfolding
- mahalanobis metric
- subject to linear constraints