The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Several optimizations to the Time Warp synchronization protocol for parallel discrete event simulation have been proposed and studied. Many of these optimizations have included so...
Radharamanan Radhakrishnan, Lantz Moore, Philip A....
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
A type confusion attack is one in which a principal accepts data of one type as data of another. Although it has been shown by Heather et al. that there are simple formatting conv...