Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
In this paper, we develop a unified theory in analyzing optimal switch box design problems, particularly for the unsolved irregular cases, where different pin counts are allowed on...
A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton...
We outline elements of the Abstract Contract Calculator, a prototype language implemented in Haskell (a declarative programming language) in which we simulate agents executing abst...
We present a methodology, an environment and supporting tools to map an application on a wireless sensor network (WSN). While the method is quite general, we use extensively an exa...
Alvise Bonivento, Luca P. Carloni, Alberto L. Sang...