Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small
Y. Song, P.J. Schreier, N. Roseveare, in: Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process., Brisbane, Australia, 2015.
Download
No fulltext has been uploaded.
Conference Paper
Author
Song, Y.;
Schreier, P. J.;
Roseveare, N.
Department
Publishing Year
Proceedings Title
Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.
LibreCat-ID
Cite this
Song Y, Schreier PJ, Roseveare N. Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. In: Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. ; 2015.
Song, Y., Schreier, P. J., & Roseveare, N. (2015). Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.
@inproceedings{Song_Schreier_Roseveare_2015, place={Brisbane, Australia}, title={Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small}, booktitle={Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.}, author={Song, Y. and Schreier, P. J. and Roseveare, N.}, year={2015} }
Song, Y., P. J. Schreier, and N. Roseveare. “Determining the Number of Correlated Signals between Two Data Sets Using PCA-CCA When Sample Support Is Extremely Small.” In Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. Brisbane, Australia, 2015.
Y. Song, P. J. Schreier, and N. Roseveare, “Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small,” 2015.
Song, Y., et al. “Determining the Number of Correlated Signals between Two Data Sets Using PCA-CCA When Sample Support Is Extremely Small.” Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process., 2015.