Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Activity recognition in video is dominated by low- and mid-level features, and while demonstrably capable, by nature, these features carry little semantic meaning. Inspired by the...
This paper studies the AS-level re-wiring dynamics (changes in the connectivity) of malicious networks. Anecdotal evidence suggests that some malicious ASes that are primarily invo...
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
—Active probing is an active network monitoring technique that has potential for developing effective solutions for fault localization. In this paper we use active probing to pre...