We present a novel method for record extraction from social streams such as Twitter. Unlike typical extraction setups, these environments are characterized by short, one sentence ...
We present a hierarchical model for human activity recognition in entire multi-person scenes. Our model describes human behaviour at multiple levels of detail, ranging from low-le...
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
With the near ubiquity of mobile phones, people are reachable almost anywhere and at any time. At the same time we see an increasing need for people to limit their interactions on...
Ibrahim Bokharouss, Wayne Wobcke, Yiu-Wa Chan, And...
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...