Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Active contour methods like snakes, have become a basic tool in computer vision and image analysis over the last years. They have proven to be adequate for the task of finding bou...
Benjamin Seppke, Leonie Dreschler-Fischer, Nathana...
We present Luminoso, a tool that helps researchers to visualize and understand a dimensionality-reduced semantic space by exploring it interactively. It also streamlines the proce...
Robert Speer, Catherine Havasi, K. Nichole Treadwa...
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
Data gathering is a common but critical operation in many applications of wireless sensor networks. The innovative techniques that improve energy efficiency to prolong the network ...