4,143,655 research outputs found

    A Perspective on the New World Information Order

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    The New World Information Order: A Legal Framework for Debate

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    A New International Information Order: The Developing World and the Free Flow of Information Controversy

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    This Note examines the basis in international law for a doctrine of the free flow of information and for the recent attempts of many developing countries to circumvent or alter this doctrine both domestically and in the international forum

    A Canadian Perspective on Direct Broadcast Satellites and the New World Information and Communication Order

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    The author offers a Canadian perspective on direct broadcast satellites and the new world information and communication order

    Strings with Negative Stiffness and Hyperfine Structure

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    We propose a new string model by adding a higher-order gradient term to the rigid string, so that the stiffness can be positive or negative without loosing stability. In the large-D approximation, the model has three phases, one of which with a new type of generalized "antiferromagnetic" orientational correlations. We find an infrared-stable fixed point describing world-sheets with vanishing tension and Hausdorff dimension D_H=2. Crumpling is prevented by the new term which suppresses configurations with rapidly changing extrinsic curvature.Comment: Author Information under http://www.physik.fu-berlin.de/~kleinert/institution.html . Latest update of paper also at http://www.physik.fu-berlin.de/~kleinert/kleiner_re27

    Context Based Visual Content Verification

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    In this paper the intermediary visual content verification method based on multi-level co-occurrences is studied. The co-occurrence statistics are in general used to determine relational properties between objects based on information collected from data. As such these measures are heavily subject to relative number of occurrences and give only limited amount of accuracy when predicting objects in real world. In order to improve the accuracy of this method in the verification task, we include the context information such as location, type of environment etc. In order to train our model we provide new annotated dataset the Advanced Attribute VOC (AAVOC) that contains additional properties of the image. We show that the usage of context greatly improve the accuracy of verification with up to 16% improvement.Comment: 6 pages, 6 Figures, Published in Proceedings of the Information and Digital Technology Conference, 201
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