This paper proposes a new approach to the challenging open-set language detection task. Most state-of-the-art approaches make use of data sources with several out-of-set languages...
Mohamed Faouzi BenZeghiba, Jean-Luc Gauvain, Lori ...
— In this paper, we present an approach for potential negative obstacle detection based on missing data interpretation that extends traditional techniques driven by data only whi...
Data races do not cover all kinds of concurrency errors. This paper presents a data-ow-based technique to nd stale-value errors, which are not found by low-level and high-level d...
Component-based enterprise systems often suffer from performance issues as a result of poor system design. In this paper, we propose a framework to automatically detect, assess an...
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart