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
Type: Paper
Tags:

Metadata: 
@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}}
Citation:
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
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000026
DB Connect
   0.000696
Lookup hash in DB
   0.000555
Get torrent details
   0.000176
Get torrent details, finished
   0.000303
Get authors
   0.000000
Select authors
   0.000276
Parse bibtex
   0.000117
Write header
   0.000265
get stars
   0.000155
home tab
   0.000146
render right panel
   0.000005
render ads
   0.000576
fetch current hosters
   0.000324
related datasets
   0.001479
Done