We present a fast non-iterative method for approximating the leading eigenvector so as to render graph-spectral based grouping algorithms more efficient. The approximation is base...
Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hanc...
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
This paper presents a novel approach for multiprocess synthesis supporting well-tailored module integration at system level. The goal is to extend the local scope of existing arch...
Oliver Bringmann, Wolfgang Rosenstiel, Axel Sieben...
This paper proposes a novel approach to shape analysis: using local reasoning about individual heap locations of global reasoning about entire heap abstractions. We present an int...
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...