In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a versio...
This paper describes the development of a decision support tool, an adoption assessment matrix based on critical adoption factors, that addresses a need in industry; namely, to im...
In this paper a novel method called Extended TwoDimensional PCA (E2DPCA) is proposed which is an extension to the original 2DPCA. We state that the covariance matrix of 2DPCA is e...
Mehran Safayani, Mohammad Taghi Manzuri Shalmani, ...
Interconnect architecture is a primary research issue for emerging many-core processors. Packet switched Networks-on-Chip (NoCs) are considered key to success but since they delive...