We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Visualization of non-vectorial objects is not easy in practice due to their lack of convenient vectorial representation. Representative approaches are Kernel PCA and Kernel Laplac...
Common 3D acquisition techniques, such as laser scanning and stereo capture, are realistically only 2.5D in nature. Here, we consider the automated completion of hidden or missing ...
Image registration consists in estimating geometric and photometric transformations that align two images as best as possible. The direct approach consists in minimizing the discr...
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...