The state-of-the art in visual object retrieval from large
databases allows to search millions of images on the object
level. Recently, complementary works have proposed systems
...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Typical scientific data is represented on a grid with appropriate interpolation or approximation schemes, defined on a continuous domain. The visualization of such data in parallel...
Process-oriented programming is a design methodology in which software applications are constructed from communicating concurrent processes. A process-oriented design is typically ...
Carl G. Ritson, Adam T. Sampson, Fred R. M. Barnes