Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...
Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai ...
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
—Peer-to-Peer (P2P) systems gain much attention in recent years. According to many statistics, P2P systems contribute a significant portion of the Internet traffic. Individual In...
This paper describes Automated Industry and Occupation Coding System (AIOCS). The main function of the system is to classify natural language responses to survey questionnaires int...
Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using conten...