The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
The study of evolution of networks has received increased interest with the recent discovery that many real-world networks possess many things in common, in particular the manner ...
Anurat Chapanond, Mukkai S. Krishnamoorthy, G. M. ...
To support more effective searches in large-scale weaklytagged image collections, we have developed a novel algorithm to integrate both the visual similarity contexts between the...
Today’s Internet is open and anonymous. While it permits free traffic from any host, attackers that generate malicious traffic cannot typically be held accountable. In this pa...
Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein intera...
Edoardo Airoldi, David M. Blei, Stephen E. Fienber...