Self-supervised online metric learning with low rank constraint for scene categorization.
- DOI
- 10.1109/tip.2013.2260168
- Published
- 2013 Aug
- Container
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/tip.2013.2260168,
title = {Self-supervised online metric learning with low rank constraint for scene categorization.},
author = {Cong Y and Liu J and Yuan J and Luo J},
year = {2013},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
doi = {10.1109/tip.2013.2260168},
url = {https://doi.org/10.1109/tip.2013.2260168}
}RIS
TY - JOUR TI - Self-supervised online metric learning with low rank constraint for scene categorization. AU - Cong Y AU - Liu J AU - Yuan J AU - Luo J PY - 2013 JO - IEEE transactions on image processing : a publication of the IEEE Signal Processing Society DO - 10.1109/tip.2013.2260168 UR - https://doi.org/10.1109/tip.2013.2260168 ER -
APA
Y, C., J, L., J, Y., & J, L. (2013). Self-supervised online metric learning with low rank constraint for scene categorization.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tip.2013.2260168
Source records
- pubmed · retrieved 2026-09-25T18:02:48.291Z