The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
— Resource discovery is the process of locating shared resources on a computer network. Previously studied examples include efficiently finding files with a given title on a ...
Background: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching h...
The probability that a failure will occur before the end of the computation increases as the number of processors used in a high performance computing application increases. For l...
We propose a new bilateral filtering algorithm with computational
complexity invariant to filter kernel size, socalled
O(1) or constant time in the literature. By showing
that a...