Probability distributions of response times are important in the design and analysis of transaction processing systems and computercommunication systems. We present a general tech...
Man-made environments are abundant with planar surfaces which have attractive properties and are a prerequisite for a variety of vision tasks. This paper presents an incremental m...
Johann Prankl, Michael Zillich, Bastian Leibe, Mar...
Synthesis of finite-state machines from linear-time temporal logic (LTL) formulas is an important formal specification debugging technique for reactive systems and can quickly ge...
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...