Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
Today’s stereo vision algorithms and computing technology allow real-time 3D data analysis, for example for driver assistance systems. A recently developed Semi-Global Matching (...
Simon Hermann, Reinhard Klette, Eduardo Destefanis
The heterogeneity of the Internet’s transmission resources and end system capability makes it difficult to agree on acceptable traffic characteristics among the multiple receive...
Software-based traffic generators are commonly used in experimental research on computer networks. However, there are no much studies focusing on how such instruments are accurate...
Alberto Dainotti, Alessio Botta, Antonio Pescap&eg...
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...