A GLRT for estimating the number of correlated components in sample-poor mCCA
T. Hasija, T. Marrinan, in: Proc. 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 2091–2095.
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Hasija, TanujLibreCat;
Marrinan, Timothy
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Proc. 30th European Signal Processing Conference (EUSIPCO)
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2091–2095
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Hasija T, Marrinan T. A GLRT for estimating the number of correlated components in sample-poor mCCA. In: Proc. 30th European Signal Processing Conference (EUSIPCO). ; 2022:2091–2095.
Hasija, T., & Marrinan, T. (2022). A GLRT for estimating the number of correlated components in sample-poor mCCA. Proc. 30th European Signal Processing Conference (EUSIPCO), 2091–2095.
@inproceedings{Hasija_Marrinan_2022, title={A GLRT for estimating the number of correlated components in sample-poor mCCA}, booktitle={Proc. 30th European Signal Processing Conference (EUSIPCO)}, author={Hasija, Tanuj and Marrinan, Timothy}, year={2022}, pages={2091–2095} }
Hasija, Tanuj, and Timothy Marrinan. “A GLRT for Estimating the Number of Correlated Components in Sample-Poor MCCA.” In Proc. 30th European Signal Processing Conference (EUSIPCO), 2091–2095, 2022.
T. Hasija and T. Marrinan, “A GLRT for estimating the number of correlated components in sample-poor mCCA,” in Proc. 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 2091–2095.
Hasija, Tanuj, and Timothy Marrinan. “A GLRT for Estimating the Number of Correlated Components in Sample-Poor MCCA.” Proc. 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 2091–2095.
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