Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Slice-based metrics for cohesion have been defined and examined for years. However, if a module with low cohesion has been identified, the metrics cannot help the maintainer to ...
This paper addresses the problem of remote browsing of 3D scenes. Texture and geometry information are both available at server side in the form of scalably compressed images and ...
Nicola Brusco, Pietro Zanuttigh, David Taubman, Gu...
Multi-modal person authentication systems can achieve higher performance and robustness by combining different modalities. The current fusion strategies of different modalities ar...
We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualizati...