State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
The paper begins with a response to the nature of contemporary artists relationships to how computers have permeated the fine art domain and how they affect the creative process. ...
Photorealistic rendering is one of the oldest and most important research areas in computer graphics. More recently, the concept of nonphotorealistic rendering has been proposed as...
Abstract. In the last decades there has been tremendous research towards the design of fully automatic non-rigid registration schemes. However, apart from the ITK based implementat...
Nils Papenberg, Hanno Schumacher, Stefan Heldmann,...
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...