{"department":[{"_id":"263"}],"publication":"Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.","date_created":"2023-01-30T11:51:46Z","citation":{"ama":"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: <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> ; 2015.","apa":"Song, Y., Schreier, P. J., &#38; Roseveare, N. (2015). Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>","ieee":"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.","short":"Y. Song, P.J. Schreier, N. Roseveare, in: Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process., Brisbane, Australia, 2015.","mla":"Song, Y., et al. “Determining the Number of Correlated Signals between Two Data Sets Using PCA-CCA When Sample Support Is Extremely Small.” <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i>, 2015.","chicago":"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 <i>Proc.\\ IEEE Int.\\ Conf.\\ Acoustics, Speech and Signal Process.</i> Brisbane, Australia, 2015.","bibtex":"@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} }"},"year":"2015","place":"Brisbane, Australia","_id":"40750","type":"conference","user_id":"43497","date_updated":"2023-01-30T12:01:35Z","title":"Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small","author":[{"last_name":"Song","first_name":"Y.","full_name":"Song, Y."},{"last_name":"Schreier","first_name":"P. J.","full_name":"Schreier, P. J."},{"last_name":"Roseveare","first_name":"N.","full_name":"Roseveare, N."}],"status":"public"}