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The Earth Mover's Distance as a Metric for Image Retrieval
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Citations
Cited by
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Li, N., Li, T., & Venkatasubramanian, S. (2007) · 2007 IEEE 23rd International Conference on Data Engineering · doi:10.1109/icde.2007.367856 · Cited by 3,451
The PARSEC benchmark suite: characterization and architectural implications
Bienia, C., Kumar, S., Singh, J. P., & Li, K. (2008) · Proceedings of the 17th international conference on Parallel architectures and compilation techniques · doi:10.1145/1454115.1454128 · Cited by 3,444
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2986024 · Cited by 2,565
A Kernel Method for the Two-Sample-Problem
Gretton, A., Borgwardt, K. M., Rasch, M., Schölkopf, B., & Smola, A. J. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0069 · Cited by 2,167
Metadata
- Authors
- Rubner, Y., Tomasi, C., & Guibas, L. J.
- Venue
- International Journal of Computer Vision
- Published
- 2000-11
- Volume
- 40
- Issue
- 2
- Pages
- 99-121
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2143668817
- Cited by
- 4,568
- References
- 0
- FWCI
- 15.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- This page
- CoChat. (2026). Citation check: The Earth Mover's Distance as a Metric for Image Retrieval. https://app.cochat.ai/papers/10.1023/a:1026543900054
- The paper
- Rubner, Y., Tomasi, C., & Guibas, L. J. (2000). The Earth Mover's Distance as a Metric for Image Retrieval. International Journal of Computer Vision. https://doi.org/10.1023/a%3A1026543900054
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
