Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data
- DOI
- 10.1073/pnas.1804649115
- Published
- 2018-05-21
- Container
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.1804649115,
title = {Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data},
author = {Xiaoping Shi and Yuehua Wu and Calyampudi Radhakrishna Rao},
year = {2018},
journal = {Proceedings of the National Academy of Sciences},
doi = {10.1073/pnas.1804649115},
url = {https://doi.org/10.1073/pnas.1804649115}
}RIS
TY - JOUR TI - Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data AU - Xiaoping Shi AU - Yuehua Wu AU - Calyampudi Radhakrishna Rao PY - 2018 JO - Proceedings of the National Academy of Sciences DO - 10.1073/pnas.1804649115 UR - https://doi.org/10.1073/pnas.1804649115 ER -
APA
Shi, X., Wu, Y., & Rao, C. R. (2018). Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1804649115
Source records
- crossref · retrieved 2026-09-26T03:46:34.435Z