Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
In this paper, we introduce the concept of hierarchy-based fault-local stabilization and a novel self-healing/fault-containment technique and apply them in Stalk. Stalk is an algo...
Murat Demirbas, Anish Arora, Tina Nolte, Nancy A. ...
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
The ubiquitous SSH package has demonstrated the importance of secure remote login and execution. As remote execution tools grow in popularity, users require new features and exten...
Michael Kaminsky, Eric Peterson, Daniel B. Giffin,...
Error-diffusion and its variants are commonly used halftoning techniques that produce dispersed dot (FM) halftones, which are often preferred because they are free from low-freque...