Normalization of hypocretin-1 in narcolepsy after intravenous immunoglobulin treatment
Service de Neurologie, 80, Avenue Augustin Fliche, Hôpital Gui-de-Chauliac, 34295, Montpellier Cedex 5, France.Neurology (Impact Factor: 8.29). 10/2009; 73(16):1333-4. DOI: 10.1212/WNL.0b013e3181bd1344
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ABSTRACT: Remotely sensed data are recorded as aggregates over space of a continuous variable, a situation which can cause possible variation in the performance of statistical image analysis models for noise removal and classification. Increasingly, the need for image subsampling methods has then been considered. A solution to the problem is proposed in the paper by adopting a multivariate model-based approach in a Bayesian context. The analysis is centred on the representation of aggregate spatial processes transformed through linear operators. This framework is shown to be suitable for treating image subsampling and multi-platform data integration simultaneously
Conference Paper: How smooth is smoothed round robin?[Show abstract] [Hide abstract]
ABSTRACT: A simulation result in the original paper about SRR indicates that SRR, an O(1) time complexity round robin scheme, is almost as good as the time stamp based WFQ in delay properties. This poses an interesting question of whether the simple SRR-like schemes are able to replace the more complex WFQ-like schemes to provide QoS guarantees in high-speed networks. This is not a straightforward question, however, because the performance of round robin schemes (including SRR) are heavily dependent on network conditions. To obtain meaningful results, one has to explore the whole parameter space. We describe network conditions in two dimensions: traffic patterns and weight distributions. We conduct extensive simulations systematically in a variety of scenarios in terms of traffic patterns and weight distributions, to investigate the performance of SRR as compared with deficit round robin and WF<sup>2</sup>Q+. It is shown that under most cases SRR has delay performance approximating WF<sup>2</sup>Q+ and better than DRR.
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