Somoclu is a massively parallel tool for training self-organizing maps on large data sets
written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the …

In order to deal with high dimensional reliability analysis, an active learning method based
on matrix-operation radial basis function (RBF) model is proposed in this paper. To …

Background The analysis of biological networks has become a major challenge due to the
recent development of high-throughput techniques that are rapidly producing very large data …

This paper presents a 55-line code written in python for 2D and 3D topology optimization
(TO) based on the open-source finite element computing software (FEniCS), equipped with …

We present an efficient scene layout aware object detection method for traffic surveillance.
Given an input image, our approach first estimates its scene layout by transferring object …

Background High-throughput molecular profiling data has been used to improve clinical
decision making by stratifying subjects based on their molecular profiles. Unsupervised …

Abstract GPUSVM (Graphic Processing Unit Support Vector Machine) is a Computing
Unified Device Architecture (CUDA) based Support Vector Machine (SVM) package. It is …

Technological advances in the past decade, hardware and software alike, have made
access to high-performance computing (HPC) easier than ever. We review these advances …

With the development of embedded systems and the advance of communication network
technologies, the positioning and creative value-added applications have been used widely …

Principal component analysis or PCA has been traditionally used as one of the feature
extraction techniques in face recognition systems yielding high accuracy when requiring a …