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Revisiting Gaussian Mixture Models for Driver Identification

Research article (2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2018) · cited 11× · AI/ML
academia openalex:W2900243418
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Revisiting Gaussian Mixture Models for Driver Identification

Summary

Revisiting Gaussian Mixture Models for Driver Identification is a scholarly article[1].

Key Facts

  • Revisiting Gaussian Mixture Models for Driver Identification'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). Revisiting Gaussian Mixture Models for Driver Identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/revisiting-gaussian-mixture-models-for-driver-identification
MLA “Revisiting Gaussian Mixture Models for Driver Identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/revisiting-gaussian-mixture-models-for-driver-identification.
BibTeX @misc{4ortxyz_revisiting-gaussian-mixture-models-for-driver-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Revisiting Gaussian Mixture Models for Driver Identification}}, year = {2026}, url = {https://4ort.xyz/entity/revisiting-gaussian-mixture-models-for-driver-identification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Revisiting Gaussian Mixture Models for Driver Identification — https://4ort.xyz/entity/revisiting-gaussian-mixture-models-for-driver-identification (retrieved 2026-05-24)

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