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Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA)
Research article (NeuroImage, 2015) · cited 24× · AI/ML
Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA)
Summary
Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA) is a scholarly article[1].
Key Facts
Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA)'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA). Retrieved May 24, 2026, from https://4ort.xyz/entity/characterizing-nonlinear-relationships-in-functional-imaging-data-using-eigenspace-maximal-information-canonical-correla
MLA“Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterizing-nonlinear-relationships-in-functional-imaging-data-using-eigenspace-maximal-information-canonical-correla.
BibTeX@misc{4ortxyz_characterizing-nonlinear-relationships-in-functional-imaging-data-using-eigenspace-maximal-information-canonical-correla_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA)}}, year = {2026}, url = {https://4ort.xyz/entity/characterizing-nonlinear-relationships-in-functional-imaging-data-using-eigenspace-maximal-information-canonical-correla}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA) — https://4ort.xyz/entity/characterizing-nonlinear-relationships-in-functional-imaging-data-using-eigenspace-maximal-information-canonical-correla (retrieved 2026-05-24)
