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Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces

Research article (Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018) · cited 25× · AI/ML
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Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces

Summary

Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces is a scholarly article[1].

Key Facts

  • Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-analysis-of-microsoft-s-and-google-s-emotion-recognition-api-using-pose-invariant-faces
MLA “Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-analysis-of-microsoft-s-and-google-s-emotion-recognition-api-using-pose-invariant-faces.
BibTeX @misc{4ortxyz_performance-analysis-of-microsoft-s-and-google-s-emotion-recognition-api-using-pose-invariant-faces_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces}}, year = {2026}, url = {https://4ort.xyz/entity/performance-analysis-of-microsoft-s-and-google-s-emotion-recognition-api-using-pose-invariant-faces}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance analysis of Microsoft's and Google's Emotion Recognition API using pose-invariant faces — https://4ort.xyz/entity/performance-analysis-of-microsoft-s-and-google-s-emotion-recognition-api-using-pose-invariant-faces (retrieved 2026-05-24)

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