Despite decades of study, robust shadow detection remains difficult, especially within a single color image. We describe a new approach to detect shadow boundaries in images of o...
Xiang Huang, Gang Hua, Jack Tumblin, Lance William...
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Botnets have become the most powerful tool for attackers to victimize countless users across cyberspace. Previous work on botnet detection has mainly focused on identifying infecte...
Jose Andre Morales, Erhan J. Kartaltepe, Shouhuai ...
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the popu...