A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
This paper presents a postprocessing technique based on the theory of projections onto convex sets (POCS) to reduce the blocking artifacts in low bit rate BDCT-coded images. In the...
Yoon Kim, Chun-Su Park, Kyunghun Jang, Sung-Jea Ko
Modern User Interfaces (UI) must deal with the increasing complexity of applications as well as new features such as the capacity of UIs to be dynamically adapted to the context o...
Both semantic and type-based query optimization rely on the idea that queries often exhibit non-trivial rewritings if the state space of the database is restricted. Despite their ...
Michael Meier 0002, Michael Schmidt, Fang Wei, Geo...
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...