A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Application monitoring in the grid for parallel applications is hardly supported in recent grid infrastructures. There is a need to visualize the behavior of the program during its...
Java's support for parallel and distributed processing makes the language attractive for metacomputing applications, such as parallel applications that run on geographically ...
Rob van Nieuwpoort, Jason Maassen, Henri E. Bal, T...
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...