Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specificati...
We present a new interface for exploring and navigating large-scale discussions on the internet. Our system, tldr, focuses on three primary user goals: finding, navigating and fil...
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a signi...
Andrea Unger, Enrico Gutzeit, Matthias Jeschke, He...