Time dependant models have been intensively studied for many reasons, among others because of their applications in software verification and due to the development of embedded pla...
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
One of the problems in part-of-speech tagging of real-word texts is that of unknown to the lexicon words. In (Mikheev, 1996), a technique for fully unsupervised statistical acquis...
We couple occlusion modeling and multi-frame motion estimation to compute dense, temporally extended point trajectories in video with significant occlusions. Our approach combine...
In this article we will introduce a new approach (and several implementations) to the task of sentence classification, where pre-defined classes are assigned to sentences. This a...
Menno van Zaanen, Luiz Augusto Sangoi Pizzato, Die...