Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework

Research article (IET Computer Vision, 2015) · cited 25× · AI/ML
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Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework

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Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/face-recognition-using-supervised-probabilistic-principal-component-analysis-mixture-model-in-dimensionality-reduction-w
MLA “Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/face-recognition-using-supervised-probabilistic-principal-component-analysis-mixture-model-in-dimensionality-reduction-w.
BibTeX @misc{4ortxyz_face-recognition-using-supervised-probabilistic-principal-component-analysis-mixture-model-in-dimensionality-reduction-w_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework}}, year = {2026}, url = {https://4ort.xyz/entity/face-recognition-using-supervised-probabilistic-principal-component-analysis-mixture-model-in-dimensionality-reduction-w}, note = {Accessed: 2026-05-24}}
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