Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
This paper proposes a novel method for texture segmentation using independent component analysis (ICA) of Gabor features (called ICAG). It has three distinguished aspects. (1) Gab...
Abstract. We describe a general component software framework designed for demanding grid environments that provides optimal performance for the assembled component application. Thi...
Nathalie Furmento, Anthony Mayer, Stephen McGough,...
is a mechanism for abstraction and encapsulation of languages. It aims to make the best support on the definition and implementation of new languages, especially DSLs (Domain Spec...