Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
We investigate genre effects on the task of automatic sentence segmentation, focusing on two important domains – broadcast news (BN) and broadcast conversation (BC). We employ a...
We study a point pattern detection problem on networks, motivated by geographical analysis tasks, such as crime hotspot detection. Given a network N (for example, a street, train,...
Kevin Buchin, Sergio Cabello, Joachim Gudmundsson,...
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
Flow based analysis of network traffic is commonly used to analyze and understand security-related events. Graphical analysis helps analysts detect patterns or behaviors that woul...
Mansour Alsaleh, David Barrera, Paul C. van Oorsch...