A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data

Research article (Computerized Medical Imaging and Graphics, 2019) · cited 21× · AI/ML
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A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data

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A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-robust-kernel-principal-component-analysis-for-nonlinear-statistical-shape-modeling-from-erroneous-data
MLA “A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-robust-kernel-principal-component-analysis-for-nonlinear-statistical-shape-modeling-from-erroneous-data.
BibTeX @misc{4ortxyz_a-novel-robust-kernel-principal-component-analysis-for-nonlinear-statistical-shape-modeling-from-erroneous-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-robust-kernel-principal-component-analysis-for-nonlinear-statistical-shape-modeling-from-erroneous-data}, note = {Accessed: 2026-05-24}}
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