While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
: The available evidence in a legacy software system, which can help in its understanding and recovery of its architecture are not always sufficient. Very often the system's d...
There are two important hurdles that restrict the scalability of directory-based shared-memory multiprocessors: the directory memory overhead and the long L2 miss latencies due to ...
Agents based on reactive planning architectures use pre-specified plans as behaviour specifications. Normative agents are motivated by norms in their behaviour: obligations motiva...