911 resultados para foreground background segmentation
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Handout which contains a set of links to a variety of background resources associated with the topics for a technical report coursework. Resources are clustered into three overview areas, but contain links which be used to address each of the six questions scenarios.
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Background reading for coursework to prepare a technical report as part of the orientation phase. These items are business documents (i.e. grey literature) which might be read as a prelude or complement to finding information in peer reviewed academic publications. grey literature links and articles to be used in preparation of technical report. See also overview guidance document for this assignment http://www.edshare.soton.ac.uk/8017/
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La obesidad es un problema de salud global siendo la cirugía bariatrica el mejor tratamiento demostrado. El Bypass Gástrico (BGYR) es el método más utilizado que combina restricción y malabsorcion; sin embargo los procedimientos restrictivos se han popularizado recientemente. La Gastro-gastroplastia produce restricción gástrica reversible por medio de un pouch gástrico con anastomosis gastrogástrica y propusimos su evaluación Métodos: Estudio retrospectivo no randomizado que evaluó archivos de pacientes con GG y BGYR laparoscópicos entre Febrero de 2008 y Abril de 2011 Resultados: 289 pacientes identificados: 180 GG y 109 BGYR de los cuales 138 cumplieron criterios de inclusión, 77 (55.8%) GG y 61 (44,2%) BGYR, 18 (13%) hombres y 120 (87%) mujeres. Para GG la mediana del peso inicial fue 97,15 (± 17,3) kg, IMC inicial de 39,35 (± 3,38) kg/m2 y exceso de peso de 37,1 (±11,9). La mediana de IMC a los 1, 6 y 12 meses fue 34,8 (±3,58) kg/m2, 30,81 (±3,81) kg/m2, 29,58 (±4,25) kg/m2 respectivamente. La mediana de % PEP 1, 6 y 12 meses fue 30,9 (±14,2) %, 61,88 (±18,27) %, 68,4 (±19,64) % respectivamente. Para BGYR la mediana del peso inicial fue 108,1 (± 25,4) kg, IMC inicial 44,4 (± 8,1) y exceso de peso de 48,4 (±15,2) %. La mediana de IMC a los 1, 6 y 12 meses fue 39 (±7,5) kg/m2, 33,31 (±4,9) kg/m2, 30,9 (±4,8) kg/m2 respectivamente. La mediana de % PEP 1, 6 y 12 meses fue 25,9 (±12,9) %, 61,87 (±18,62) %, 71,41 (±21,09) % respectivamente. Seguimiento a un año. Conclusiones: La gastro-gastroplastia se plantea como técnica restrictiva, reversible, con resultados óptimos en reducción de peso y alternativa quirúrgica en pacientes con obesidad. Son necesarios estudios a mayor plazo para demostrar mantenimiento de cambios en el tiempo.
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Quick overview of mendeley plus a video of a talk about the startup process from 2010. Interesting from a new business model perspective
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stars background test
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On the assumption that any complex Modern Political Theory involves a decision about human rights, this article considers a possible assessment of the broader aspects of the conception of the State in the work of Nozick. Based on one critical point of view originally formulated by H.L.A. Hart, it defends the claim that the libertarian conception is untenable in moral terms.
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In Colombia, students from an ethnic group have a lower academic achievement with respect totheir non-ethnic peers in standardized test scores on math and language. This gap is persistentat a state level, especially in high ethnic density states. Using information from the state academictest (SABER 11), this study corroborates the existence of an academic gap between ethnicand non-ethnic students and, additionally, decomposes it in factors related to observable characteristics,such as family and school; and non-observable factors. The methodology proposed byBlinder and Oaxaca applied to quantile regression is used in order to determine the existence oftest score gaps throughout the distribution of academic performance. Results indicate that forstates where there is a statistically significant gap, a sizeable portion of it is attributed to nonobservablefactors. Nonetheless, at distinct levels of academic performance, the gap size and theextent to which it can be attributed non-observable factors vary according to the state
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This paper provides a complete generalization of the background risk models. In so doing, first, it relaxes the independence assumption. Second, it adopts a general functional form. Third, itadopts a general type of risk. Furthermore, it introduces a new general form of background risk.
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Resumen en español
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Resumen en español
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Resumen tomado de la publicación
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In image processing, segmentation algorithms constitute one of the main focuses of research. In this paper, new image segmentation algorithms based on a hard version of the information bottleneck method are presented. The objective of this method is to extract a compact representation of a variable, considered the input, with minimal loss of mutual information with respect to another variable, considered the output. First, we introduce a split-and-merge algorithm based on the definition of an information channel between a set of regions (input) of the image and the intensity histogram bins (output). From this channel, the maximization of the mutual information gain is used to optimize the image partitioning. Then, the merging process of the regions obtained in the previous phase is carried out by minimizing the loss of mutual information. From the inversion of the above channel, we also present a new histogram clustering algorithm based on the minimization of the mutual information loss, where now the input variable represents the histogram bins and the output is given by the set of regions obtained from the above split-and-merge algorithm. Finally, we introduce two new clustering algorithms which show how the information bottleneck method can be applied to the registration channel obtained when two multimodal images are correctly aligned. Different experiments on 2-D and 3-D images show the behavior of the proposed algorithms
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In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogram to the regions of the partitioned image. It allows us to define a new family of segmentation methods which maximize the mutual information of the channel. Firstly, a greedy top-down algorithm which partitions an image into homogeneous regions is introduced. Secondly, a histogram quantization algorithm which clusters color bins in a greedy bottom-up way is defined. Finally, the resulting regions in the partitioning algorithm can optionally be merged using the quantized histogram