Publisher
Springer International Publishing
Reference27 articles.
1. Assefa, S.: Generating synthetic data in finance: opportunities, challenges and pitfalls. Challenges and Pitfalls (2020)
2. Barachant, A., Bonnet, S., Congedo, M., Jutten, C.: Classification of covariance matrices using a Riemannian-based kernel for BCI applications. Neurocomputing 112, 172–178 (2013)
3. Brooks, D., Schwander, O., Barbaresco, F., Schneider, J.Y., Cord, M.: Riemannian batch normalization for SPD neural networks. Adv. Neural Inf. Process. Syst. 32, 15489–15500 (2019)
4. David, P.: A Riemannian Quotient Structure for Correlation Matrices with Applications to Data Science. Ph.D. thesis, The Claremont Graduate University (2019)
5. Davies, P.I., Higham, N.J.: Numerically stable generation of correlation matrices and their factors. BIT Numer. Math. 40(4), 640–651 (2000)
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