Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
In this panel we explore: (1) the burgeoning discourse on sustainability concerns within HCI, (2) the material and behavioral challenges of sustainability in relation to interacti...
Lisa P. Nathan, Eli Blevis, Batya Friedman, Jay Ha...
Abstract. We propose a lightweight localisation approach for supporting distance and range queries in ad hoc wireless sensor networks. In contrast to most previous localisation app...
Urs Bischoff, Martin Strohbach, Mike Hazas, Gerd K...
Abstract. Under Social Tagging Systems, a typical Web 2.0 application, users label digital data sources by using freely chosen textual descriptions (tags). Mining tag information r...
Vassiliki A. Koutsonikola, Athena Vakali, Eirini G...