Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
- DOI
- 10.1109/tpami.2020.2978812
- Published
- 2021 Sep
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2020.2978812,
title = {Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.},
author = {Dang Z and Yi KM and Hu Y and Wang F and Fua P and Salzmann M},
year = {2021},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2020.2978812},
url = {https://doi.org/10.1109/tpami.2020.2978812}
}RIS
TY - JOUR TI - Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. AU - Dang Z AU - Yi KM AU - Hu Y AU - Wang F AU - Fua P AU - Salzmann M PY - 2021 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2020.2978812 UR - https://doi.org/10.1109/tpami.2020.2978812 ER -
APA
Z, D., KM, Y., Y, H., F, W., P, F., & M, S. (2021). Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2020.2978812
Source records
- pubmed · retrieved 2026-09-27T10:43:54.054Z