A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
The memory consistency model is a fundamental system property characterizing a multiprocessor. The relative merits of strict versus relaxed memory models have been widely debated ...
Alexander Jaffe, Thomas Moscibroda, Laura Effinger...
Abstract. A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itse...
Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-J...
Abstract — This paper describes a practical technique for the optimal scheduling of control dominated systems minimizing the weighted average latency over all control branches. S...
To be sociable, embodied interactive agents like virtual characters or humanoid robots need to be able to engage in mutual coordination of behaviors, beliefs, and relationships wit...
Stefan Kopp, Kirsten Bergmann, Hendrik Buschmeier,...