Logic meta-programming in Prolog is a powerful way to express program analysis and transformation. However, its use can be difficult and error-prone because it requires programmer...
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...
Abstract Image retrieval has nowadays several industrial applications. In these imaging applications, which typically use large image archives, the matter of computational efficien...
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biological processes. The modelling and simulation of networks of biochemical reactions...
Olga Krebs, Martin Golebiewski, Renate Kania, Saqi...