The following paper has been accepted for the research track of DSAA2017 (the 4th IEEE International Conference on Data Science and Advanced Analytics).
T.Nakamura, T.Iwata, and K.Yamanishi: "Latent dimensionality estimation for probabilistic canonical correlation analysis using normalized maximum likelihood code-length."