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Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations

Research article (Machine Vision and Applications, 2017) · cited 19× · AI/ML
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Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations

Summary

Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations is a scholarly article[1].

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  • Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-watch-list-screening-using-dynamic-ensembles-of-svms-based-on-multiple-face-representations
MLA “Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-watch-list-screening-using-dynamic-ensembles-of-svms-based-on-multiple-face-representations.
BibTeX @misc{4ortxyz_robust-watch-list-screening-using-dynamic-ensembles-of-svms-based-on-multiple-face-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations}}, year = {2026}, url = {https://4ort.xyz/entity/robust-watch-list-screening-using-dynamic-ensembles-of-svms-based-on-multiple-face-representations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations — https://4ort.xyz/entity/robust-watch-list-screening-using-dynamic-ensembles-of-svms-based-on-multiple-face-representations (retrieved 2026-05-24)

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