As our ability to measure the world around us improves, we are quickly generating massive quantities of high-dimensional, spatial-temporal data. In this paper, we concern ourselve...
Estimating characteristics of large graphs via sampling is a vital part of the study of complex networks. Current sampling methods such as (independent) random vertex and random w...
This paper presents two vector watermarking schemes that are based on the use of complex and quaternion Fourier transforms and demonstrates, for the first time, how to embed waterm...
Tsz Kin Tsui, Xiao-Ping Zhang, Dimitrios Androutso...
visualization to abstract data sets like network intrusion detection, recommender systems, and database query results. Although display algorithms are a critical component in the v...
Brent M. Dennis, Sarat Kocherlakota, Amit P. Sawan...
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...