Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
Gilles Meyer and Silvre Bonnabel and Rodolphe Sepulchre

Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach.pdf 340.67kB
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@article{12:18,author={Gilles Meyer and Silvre Bonnabel and Rodolphe Sepulchre}, Title={Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach},journal={Journal of Machine Learning Research},volume={12}, url={http://www.jmlr.org/papers/volume12/meyer11a/meyer11a.pdf}}
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Meyer, G., Bonnabel, S., & Sepulchre, R.. (2014). Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach [Data set]. Academic Torrents. https://academictorrents.com/details/881e10e2a8109bc3c4c343e199fafdce1ba47e72
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