This paper describes the new localisation algorithms under implementation for the mail distributing mobile robot, MOPS, of the Institute of Robotics, Swiss Federal Institute of Te...
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
The transition from single-core to multi-core processors has made multi-threaded software an important subject over the last years in computer-aided verification. Model checkers ...
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...