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...
We present a simple artificial landmark model and a robust tracking algorithm for the navigation of indoor mobile robots. The landmark model is designed to have a three-dimensiona...
Gi-jeong Jang, Sungho Kim, Wang-Heon Lee, In-So Kw...
The problem of automatic text segmentation is subcategorized into two different problems: thematic segmentation into rather large topically selfcontained sections and splitting int...
Given two binary linear codes R and C, their tensor product R C consists of all matrices with rows in R and columns in C. We analyze the "robustness" of the following te...
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...