Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Name matching—recognizing when two different strings are likely to denote the same entity—is an important task in many legal information systems, such as case-management syste...
Abstract—rSesame is a generic modeling and simulation framework which can explore and evaluate reconfigurable systems at the early design stages. The framework can be used to ex...
Kamana Sigdel, Mark Thompson, Carlo Galuzzi, Andy ...
There is a growing concern on anonymity and privacy on the Internet, resulting in lots of work on formalization and verification of anonymity. Especially, importance of probabilis...