Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
- DOI
- 10.1109/tpami.2026.3733393
- Published
- 2026
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3733393,
title = {Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data},
author = {Osamu Hirose and Emanuele Rodola},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3733393},
url = {https://doi.org/10.1109/tpami.2026.3733393}
}RIS
TY - JOUR TI - Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data AU - Osamu Hirose AU - Emanuele Rodola PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3733393 UR - https://doi.org/10.1109/tpami.2026.3733393 ER -
APA
Hirose, O., & Rodola, E. (2026). Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3733393
Source records
- crossref · retrieved 2026-11-06T09:08:04.899Z