Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
In this paper, we present the technical details and the challenges we faced during the development and evaluation phases of our wearable indoor guiding system which consists of a ...
The task of identifying redundant information in documents that are generated from multiple sources provides a significant challenge for summarization and QA systems. Traditional ...
File Integrity Analyzers serve as a component of an Intrusion Detection environment by performing filesystem inspections to verify the content of security-critical files in order ...
—We develop a practical and comprehensive hybrid rogue access point (AP) detection framework for commodity WiFi networks. It is the first scheme that combines the distributed wi...