Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, t...
Ian T. Foster, Joseph A. Insley, Gregor von Laszew...
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
Abstract. Haplotypes, as they specify the linkage patterns between dispersed genetic variations, provide important information for understanding the genetics of human traits. Howev...
Modern processor architectures call for software that is highly tuned to an unpredictable operating environment. Processlevel virtualization systems allow existing software to ada...
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...