During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called...
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
The term organizational memory is due for an overhaul. Memory appears to be everywhere in organizations; yet, the term has been limited to a few uses. In this paper we examine wha...
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...