160 resultados para Union Européenne


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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.

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Conditionality is formally a key determinant of many non-member states’ relations with the EU. It is particularly so for states intent on membership. As the case of Romania shows, the EU’s use of conditionality is far from consistent. Relations can develop and accession take place without the requisite conditions being met. This follows from the use the EU makes of the flexibility evident in its evolving and generally vague definitions of the conditions that need to be met. Hence it was often extraneous factors over which Romania had either limited or no influence that were responsible for key developments in relations. These factors include the geopolitical and strategic interests of the EU and its member states, the actions of the Commission and the agenda-setting and constraining effects of rhetorical commitments and timetables, and the dynamics of the EU’s evolving approach to eastern enlargement.

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