The Diminishing Returns to Trade Policy in the European Union

The notion that the EU is a trade power is central to studies of the Union’s international presence. Credible threats to withhold access to Europe’s markets are said to provide the Union with leverage in respect of other trade partners. This paper queries the continuing ability of the European Union to act effectively this way. The current Doha malaise is a symptom of deeper changes in the international trade system. As emerging markets become more affluent and participate in foreign direct investment, their interest in market access per se become less important relative to other areas of regulation.

Robust face recognition using posterior union model based neural networks

Face recognition with unknown, partial distortion and occlusion is a practical problem, and has a wide range of applications, including security and multimedia information retrieval. The authors present a new approach to face recognition subject to unknown, partial distortion and occlusion. The new approach is based on a probabilistic decision-based neural network, enhanced by a statistical method called the posterior union model (PUM). PUM is an approach for ignoring severely mismatched local features and focusing the recognition mainly on the reliable local features. It thereby improves the robustness while assuming no prior information about the corruption. We call the new approach the posterior union decision-based neural network (PUDBNN). The new PUDBNN model has been evaluated on three face image databases (XM2VTS, AT&T and AR) using testing images subjected to various types of simulated and realistic partial distortion and occlusion. The new system has been compared to other approaches and has demonstrated improved performance.