1. Akaho, S.: A kernel method for canonical correlation analysis, pp. 263–269 (2007)
2. Andrew, G., Arora, R., Bilmes, J.A., Livescu, K.: Deep canonical correlation analysis. In: Proceedings of the 30th International Conference on Machine Learning, Atlanta, GA, pp. 1247–1255 (2013)
3. Arora, R., Mianjy, P., Marinov, T.V.: Stochastic optimization for multiview representation learning using partial least squares. In: Proceedings of the 33rd International Conference on Machine Learning, New York, NY, pp. 4847–4855 (2016)
4. Hardoon, D.R., Szedmak, S.R., Shawe-Taylor, J.R.: Canonical Correlation Analysis: An Overview with Application to Learning Methods. MIT Press, Cambridge (2004)
5. Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006)