Canonical correlation analysis of high-dimensional data with very small sample support
Y. Song, P.J. Schreier, D. Ramírez, T. Hasija, Signal Process. 128 (2016) 449–458.
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Journal Article
| English
Author
Song, Yang;
Schreier, Peter J.;
Ramírez, David;
Hasija, TanujLibreCat
Department
Publishing Year
Journal Title
Signal Process.
Volume
128
Page
449–458
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Song Y, Schreier PJ, Ramírez D, Hasija T. Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process. 2016;128:449–458.
Song, Y., Schreier, P. J., Ramírez, D., & Hasija, T. (2016). Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process., 128, 449–458.
@article{Song_Schreier_Ramírez_Hasija_2016, title={Canonical correlation analysis of high-dimensional data with very small sample support}, volume={128}, journal={Signal Process.}, author={Song, Yang and Schreier, Peter J. and Ramírez, David and Hasija, Tanuj}, year={2016}, pages={449–458} }
Song, Yang, Peter J. Schreier, David Ramírez, and Tanuj Hasija. “Canonical Correlation Analysis of High-Dimensional Data with Very Small Sample Support.” Signal Process. 128 (2016): 449–458.
Y. Song, P. J. Schreier, D. Ramírez, and T. Hasija, “Canonical correlation analysis of high-dimensional data with very small sample support,” Signal Process., vol. 128, pp. 449–458, 2016.
Song, Yang, et al. “Canonical Correlation Analysis of High-Dimensional Data with Very Small Sample Support.” Signal Process., vol. 128, 2016, pp. 449–458.
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