9 resultados para Nuisance attribute projection


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[ES] El sector de la construcción tiene, en España, una notable importancia, por su aportación al PIB (del entorno del 10%) y al empleo (en torno al 10%) y porque aglutina un amplio tejido empresarial. El deterioro de la situación económica y la saturación del mercado residencial han llevado a una fuerte contracción de la actividad constructiva, después una larga época de crecimiento.

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The case of the top chefs relates the two areas that are apparently most distant, nutrition and health technology. It is the element that binds[3] the four, making them into a single whole. The results achieved by our chefs, in terms of their individual and collective success and their international projection of the image of the Basque Country comprise a goal to which other industries in the region should aspire. It is therefore our plan to apply the keys to this successful inter-competitor cooperation to development of the health technology industry. At the same time, we want to fulfil one of the aims that have been established for the food area: to make use of the country’s gastronomy-related assets.

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Some results on fixed points related to the contractive compositions of bounded operators in a class of complete metric spaces which can be also considered as Banach's spaces are discussed through the paper. The class of composite operators under study can include, in particular, sequences of projection operators under, in general, oblique projective operators. In this paper we are concerned with composite operators which include sequences of pairs of contractive operators involving, in general, oblique projection operators. The results are generalized to sequences of, in general, nonconstant bounded closed operators which can have bounded, closed, and compact limit operators, such that the relevant composite sequences are also compact operators. It is proven that in both cases, Banach contraction principle guarantees the existence of unique fixed points under contractive conditions.

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This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective projection of planar structures. Data are provided by calibrated aerial images. The novelty of the approach lies in its featurelessness and in its use of direct optimization based on image rawbrightness. The proposed framework avoids feature extraction and matching. The 3D polyhedral model is directly estimated by optimizing an objective function that combines an image-based dissimilarity measure and a gradient score over several aerial images. The optimization process is carried out by the Differential Evolution algorithm. The proposed approach is intended to provide more accurate 3D reconstruction than feature-based approaches. Fast 3D model rectification and updating can take advantage of the proposed method. Several results and evaluations of performance from real and synthetic images show the feasibility and robustness of the proposed approach.

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RESUMEN: El presente trabajo trata de indagar sobre los Derechos Humanos y el Derecho a la Educación de los niños y niñas de colectivos desfavorecidos, para promover la reflexión y proyección de la Educación Social como profesión educativa en la educación de paz y Derechos Humanos. Para ello, se realiza una revisión de las bases científicas, e históricas de las que surgen los Derechos Humanos. Posteriormente, mediante una metodología cualitativa de caso, se lleva a cabo por un lado, la observación de la experiencia educativa de la Comunidad de Collique en Lima (Perú); y por otro se realiza una evaluación y análisis de los resultados obtenidos.

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Homenaje a Georges Laplace, realizado en Vitoria-Gasteiz el 13, 14 y 15 de noviembre de 2012. Edición a cargo de Aitor Calvo, Aitor Sánchez, Maite García-Rojas y Mónica Alonso-Eguíluz.

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[EN] The concept of image in its different aspects is very important in today s society as well as in the business management field. Some authors reports that most of the studies that measure image do not take into account neither previous theoretical and conceptual models nor other possible empirical evidence alternatives. Given this need, a research regarding the concept of brand image applied to shopping malls was conducted based on the conceptual model of the consumer cognitive response in order to empirically explore and contrast it. For this reason, a survey was applied to 420 consumers in five shopping malls in Bogotá, achieving a database of 3.749 cases. The results show attribute-shopping mall associations expressed in unique, differentiated, and notorious vocabulary obtained applying lexicometric and multivariate analysis techniques. Attribute-shopping mall associations such as spacious , good location , good variety of stores , and the existence of movie theaters . Finally, this research aims to potentially improve the management of shopping malls and increase their attractiveness and customer loyalty by applying the development of service quality systems, integral communication, segmentation, and positioning.

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The main contribution of this work is to analyze and describe the state of the art performance as regards answer scoring systems from the SemEval- 2013 task, as well as to continue with the development of an answer scoring system (EHU-ALM) developed in the University of the Basque Country. On the overall this master thesis focuses on finding any possible configuration that lets improve the results in the SemEval dataset by using attribute engineering techniques in order to find optimal feature subsets, along with trying different hierarchical configurations in order to analyze its performance against the traditional one versus all approach. Altogether, throughout the work we propose two alternative strategies: on the one hand, to improve the EHU-ALM system without changing the architecture, and, on the other hand, to improve the system adapting it to an hierarchical con- figuration. To build such new models we describe and use distinct attribute engineering, data preprocessing, and machine learning techniques.