In runtime monitoring, a programmer specifies a piece of code to execute when a trace of events occurs during program execution. Previous and related work has shown that runtime m...
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Structure, is a widely used software tool to investigate population genetic structure with multi-locus genotyping data. The software uses an iterative algorithm to group individua...
B. Jayashree, S. Rajgopal, David A. Hoisington, V....
Call graphs are commonly used as input for automatic clustering algorithms, the goal of which is to extract the high level structure of the program under study. Determining the ca...
Derek Rayside, Steve Reuss, Erik Hedges, Kostas Ko...
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...