Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
The EC funded COMBINE Project has the objective of dramatically improving software development productivity by providing a holistic approach to component-based development of Ente...
Sandy Tyndale-Biscoe, Oliver Sims, Bryan Wood, Chr...
Aggregate message authentication codes, as introduced by Katz and Lindell (CT-RSA 2008), combine several MACs into a single value, which has roughly the same size as an ordinary MA...
Oliver Eikemeier, Marc Fischlin, Jens-Fabian G&oum...
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...