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...
In this paper, we propose a framework called CC-Buddy, for maintaining dynamic data coherency in peer-to-peer environment. Working on the basis of peer heterogeneity in data coher...
We describe improvements to the use of semantic lexicons by a state-of-the-art query interpretation system powering a major search engine. We successfully compute concept label im...
— Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information ...
We apply the concept of “games with a purpose” to NPcomplete mapping and scheduling problems in distributed systems and report our experiences. The particular context is a sch...