Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
This paper introduces a flexible code generation framework dedicated to the design of application specific programmable processors. This tool allows the user to build specific com...
We present teleassistance, a two-tiered control structure for robotic manipulation that combines the advantages of autonomy and teleoperation. At the top level, a teleoperator pro...
When performed on a classical computer, the simulation of quantum circuits is usually an exponential job. The methodology based on Hardware Description Languages is able to isolat...
Name tagging is a critical early stage in many natural language processing pipelines. In this paper we analyze the types of errors produced by a tagger, distinguishing name classi...