We present a Standard ML library for writing programs that automatically adjust to changes to their data. The library combines modifiable references and memoization to achieve eff...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Rob...
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
Given a set of multi-dimensional points, the skyline contains the best points according to any preference function that is monotone on all axes. In practice, applications that req...
We propose, implement and evaluate three admission models for computational Grids. The models take the expected demand into account and offer a specific performance guarantee. Th...
This research proposes 3D graphical agents in the role of virtual presenters with a new type of functionality – the capability to process and respond to visual attention of users...
Arjen Hoekstra, Helmut Prendinger, Nikolaus Bee, D...