Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
We introduce a system to address the challenges involved in managing the multidimensional sensor data streams generated within immersive environments. We call this data type, imme...
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...
Resampling is a frequent task in visualization and medical imaging. It occurs whenever images or volumes are magnified, rotated, translated, or warped. Resampling is also an integ...
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, highorder SC on emerging clus...
Liu Peng, Richard Seymour, Ken-ichi Nomura, Rajiv ...