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Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling

Research article (Pattern Analysis and Applications, 2021) · cited 14× · AI/ML
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Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling

Summary

Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling is a scholarly article[1].

Key Facts

  • Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/savitzkygolay-filter-energy-features-based-approach-to-face-recognition-using-symbolic-modeling
MLA “Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/savitzkygolay-filter-energy-features-based-approach-to-face-recognition-using-symbolic-modeling.
BibTeX @misc{4ortxyz_savitzkygolay-filter-energy-features-based-approach-to-face-recognition-using-symbolic-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling}}, year = {2026}, url = {https://4ort.xyz/entity/savitzkygolay-filter-energy-features-based-approach-to-face-recognition-using-symbolic-modeling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Savitzky–Golay filter energy features-based approach to face recognition using symbolic modeling — https://4ort.xyz/entity/savitzkygolay-filter-energy-features-based-approach-to-face-recognition-using-symbolic-modeling (retrieved 2026-05-24)

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