The GLLiM toolbox provides a set of Matlab functions allowing to learn a relationship between two spaces. It implements the hGLLiM algorithm described in detail in: A. Deleforge, F. Forbes, and R. Horaud. High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables. Statistics and Computing. 2014. The article is available online on arXiv at http://arxiv.org/abs/1308.2302.
The toolbox also contains an example of application (EXAMPLE.m) using the freely available Stanford dataset for faces: http://isomap.stanford.edu/datasets.html.
For any questions regarding the toolbox, please contact Antoine Deleforge.