Probabilistic Metric Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10602-6_13
Reference18 articles.
1. Aharon Bar-Hillel et al. “Learning a Mahalanobis metric from equivalence constraints”. In: Journal of machine learning research 6.6 (2005).
2. Aharon Bar-Hillel et al. “Learning distance functions using equivalence relations”. In: Proceedings of the 20th international conference on machine learning (ICML-03). 2003, pp. 11–18.
3. Jason V Davis et al. “Information-theoretic metric learning”. In: Proceedings of the 24th international conference on Machine learning. 2007, pp. 209–216.
4. JVDI Dhillon. “Differential entropic clustering of multivariate Gaussians”. In: Advances in Neural Information Processing Systems 19 (2007), p. 337.
5. Lin Feng et al. “Learning a distance metric by balancing KL-divergence for imbalanced datasets”. In: IEEE Transactions on Systems, Man, and Cybernetics: Systems 49.12 (2018), pp. 2384–2395.
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