Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Shorter counterexamples are typically easier to understand. The length of a counterexample, as reported by a model checker, depends on both the algorithm used for state space explo...
State-based model checking methods comprise computing and storing reachable states, while stateless model checking methods directly reason about reachable paths using decision proc...
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...