The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
An automatic 3D model reconstruction technique is presented to acquire complete 3D models of real objects. The technique is based on novel approaches to pose estimation and integr...
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
We improve the resistance of gossip-based multicast to (Distributed) Denial of Service (DoS) attacks using dynamic local adaptations at each node. Each node estimates the current ...
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...