Trace Lasso Regularization for Adaptive Sparse Canonical Correlation Analysis via Manifold Optimization Approach
Author:
Funder
Natural Science Foundation of Hunan Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research
Link
https://link.springer.com/content/pdf/10.1007/s40305-022-00449-x.pdf
Reference31 articles.
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3. Parkhomenko, E.: Sparse canonical correlation analysis. Stat. Appl. Genet. Mol. Biol. 8(1), 1 (2008)
4. Lin, D., Calhoun, V.D., Wang, Y.: Correspondence between fMRI and SNP data by group sparse canonical correlation analysis. Med. Image Anal. 18(6), 891–902 (2014)
5. Correa, N.M., Li, Y.O., Adali, T., Calhoun, V.D.: Canonical correlation analysis for feature-based fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia. IEEE J. Select. Top. Signal Process. 2(6), 998–1007 (2008)
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