In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
People tinker, hack, fix, reuse, and assemble materials in creative and unexpected ways, often codifying and sharing their production process with others. Do-ityourself (DIY) enco...
Leah Buechley, Daniela Karin Rosner, Eric Paulos, ...
In this study, we explore the potential usefulness of disturbing, uncomfortable systems, demonstrating that provocative technology can have a positive effect on social relationshi...
Brooke E. Foucault, Helena M. Mentis, Phoebe Senge...
We present a new interface for large-scale online conversations. Our technique, the Conversation Thumbnail, differs from existing discussion interfaces in two respects. First, it ...
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...