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Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification
Research article (2016 IEEE International Conference on Multimedia and Expo (ICME), 2016) · cited 14× · AI/ML
Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification
Summary
Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification is a scholarly article[1].
Key Facts
Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/distance-learning-by-treating-negative-samples-differently-and-exploiting-impostors-with-symmetric-triplet-constraint-fo
MLA“Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/distance-learning-by-treating-negative-samples-differently-and-exploiting-impostors-with-symmetric-triplet-constraint-fo.
BibTeX@misc{4ortxyz_distance-learning-by-treating-negative-samples-differently-and-exploiting-impostors-with-symmetric-triplet-constraint-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification}}, year = {2026}, url = {https://4ort.xyz/entity/distance-learning-by-treating-negative-samples-differently-and-exploiting-impostors-with-symmetric-triplet-constraint-fo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification — https://4ort.xyz/entity/distance-learning-by-treating-negative-samples-differently-and-exploiting-impostors-with-symmetric-triplet-constraint-fo (retrieved 2026-05-24)
