CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person
Summary
CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person is a scholarly article[1].
Key Facts
CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnns-with-cross-correlation-matching-for-face-recognition-in-video-surveillance-using-a-single-training-sample-per-perso
MLA“CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnns-with-cross-correlation-matching-for-face-recognition-in-video-surveillance-using-a-single-training-sample-per-perso.
BibTeX@misc{4ortxyz_cnns-with-cross-correlation-matching-for-face-recognition-in-video-surveillance-using-a-single-training-sample-per-perso_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person}}, year = {2026}, url = {https://4ort.xyz/entity/cnns-with-cross-correlation-matching-for-face-recognition-in-video-surveillance-using-a-single-training-sample-per-perso}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person — https://4ort.xyz/entity/cnns-with-cross-correlation-matching-for-face-recognition-in-video-surveillance-using-a-single-training-sample-per-perso (retrieved 2026-05-24)
