The traditional model transformation approach is to write transformation programs in a specialized language. Although such languages provide powerful capabilities to automate mode...
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and ...
Whilst it is a common task in systems integration to have to transform between di erent semantic data models, such inter-model transformations are often speci ed in an ad hoc manne...
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...