We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
The work presents a modeling and analysis framework for heterogeneous industrial networks architectures which is based on a tight integration of a network simulator with embedded ...
Franco Fummi, Stefano Martini, Marco Monguzzi, Gio...
We present a framework for the interactive simulation of surgical cuts such as being practiced in surgical treatment. Unlike most existing methods our framework is based on tetrah...
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...