Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Penalty approaches can be used to efficiently resolve collisions of dynamically simulated rigid and deformable objects. These methods compute penalty forces based on the penetrati...
Bruno Heidelberger, Matthias Teschner, Richard Kei...
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
An ongoing web-based color naming experiment † has collected a small number of unconstrained color names from a large number of observers. This has resulted in a large database ...
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...