Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigate a nonparametric model with which to vi- sualize the relationship beten two datasets.  base our model on Gaussian Process Latent Variable Models (GPLVM)(1),(2), a probabilisti- cally defined latent variable model which takes the alternative approach of marginalizing the parameters and optimizing the latent variables;  optimize a latent variable set for each dataset, which preserves the corre- lations beten the datasets, resulting in a GPLVM formulation of canon- ical correlation analysis which can be nonlinearised by choice of covariance function.
['Gayle Leen', 'Colin Fyfe']
I am writing a research paper on a idea A Gaussian process latent variable model formulation of canonical correlation analysis.
[{"from": "human", "value": "I am writing a research paper on a idea A Gaussian process latent variable model formulation of canonical correlation analysis."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigate a nonparametric model with which to vi- sualize the relationship beten two datasets.  base our model on Gaussian Process Latent Variable Models (GPLVM)(1),(2), a probabilisti- cally defined latent variable model which takes the alternative approach of marginalizing the parameters and optimizing the latent variables;  optimize a latent variable set for each dataset, which preserves the corre- lations beten the datasets, resulting in a GPLVM formulation of canon- ical correlation analysis which can be nonlinearised by choice of covariance function."}]