BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets
Summary
BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets is a scholarly article[1].
Key Facts
BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/bsmcca-a-block-sparse-multiple-set-canonical-correlation-analysis-algorithm-for-multi-subject-fmri-data-sets
MLA“BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bsmcca-a-block-sparse-multiple-set-canonical-correlation-analysis-algorithm-for-multi-subject-fmri-data-sets.
BibTeX@misc{4ortxyz_bsmcca-a-block-sparse-multiple-set-canonical-correlation-analysis-algorithm-for-multi-subject-fmri-data-sets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets}}, year = {2026}, url = {https://4ort.xyz/entity/bsmcca-a-block-sparse-multiple-set-canonical-correlation-analysis-algorithm-for-multi-subject-fmri-data-sets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets — https://4ort.xyz/entity/bsmcca-a-block-sparse-multiple-set-canonical-correlation-analysis-algorithm-for-multi-subject-fmri-data-sets (retrieved 2026-05-24)
