We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas ...
Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery...
Abstract: Green computing or energy saving when processing information is primarily considered a task of processor development. We, however, advocate that a holistic approach is ne...
Applications are subject to threat from a number of attack vectors, and limiting their attack surface is vital. By using privilege separation to constrain application access to pro...
Dhananjay Bapat, Kevin R. B. Butler, Patrick Drew ...