Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging
Summary
Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging is a scholarly article[1].
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Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/smooth-principal-component-analysis-over-two-dimensional-manifolds-with-an-application-to-neuroimaging
MLA“Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/smooth-principal-component-analysis-over-two-dimensional-manifolds-with-an-application-to-neuroimaging.
BibTeX@misc{4ortxyz_smooth-principal-component-analysis-over-two-dimensional-manifolds-with-an-application-to-neuroimaging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging}}, year = {2026}, url = {https://4ort.xyz/entity/smooth-principal-component-analysis-over-two-dimensional-manifolds-with-an-application-to-neuroimaging}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging — https://4ort.xyz/entity/smooth-principal-component-analysis-over-two-dimensional-manifolds-with-an-application-to-neuroimaging (retrieved 2026-05-24)
