Abstract—Computer systems are increasingly driven by workloads that reflect large-scale social behavior, such as rapid changes in the popularity of media items like videos. Capa...
There has been great progress in recent years on developing effective techniques for reasoning about program equivalence in ML-like languages—that is, languages that combine fea...
Chung-Kil Hur, Derek Dreyer, Georg Neis, Viktor Va...
Model checking techniques have traditionally dealt with temporal logic languages and automata interpreted over -words, i.e., infinite in the future but finite in the past. However...
Matteo Pradella, Angelo Morzenti, Pierluigi San Pi...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...