This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground base...
This paper presents a method that conbines a set of unsupervised algorithms in order to accurately build large taxonomies from any machine-readable dictionary (MRD). Our aim is to...
In this paper, we describe our retrieval system used for the primary task of genomics track at this year. Our primary goal in this task is to find a proper method for the domain-sp...
Young-In Song, Kyoung-Soo Han, Hee-Cheol Seo, Sang...
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
— With the increasing number of embedded computer systems being used in safety critical applications the testing and assessment of a system’s fault tolerance properties become ...