7 resultados para Objects in art

em Universitat de Girona, Spain


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Ressenya del llibre The Desert is no lady: southwestern landscapes in women's writing and art, obra on s’interrelacionen tres temes que són paisatge, gènere (en aquest cas, la dona) i literatura (i, per extensió, un quart que és l’art)

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A new method for the automated selection of colour features is described. The algorithm consists of two stages of processing. In the first, a complete set of colour features is calculated for every object of interest in an image. In the second stage, each object is mapped into several n-dimensional feature spaces in order to select the feature set with the smallest variables able to discriminate the remaining objects. The evaluation of the discrimination power for each concrete subset of features is performed by means of decision trees composed of linear discrimination functions. This method can provide valuable help in outdoor scene analysis where no colour space has been demonstrated as being the most suitable. Experiment results recognizing objects in outdoor scenes are reported

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A novel test of spatial independence of the distribution of crystals or phases in rocks based on compositional statistics is introduced. It improves and generalizes the common joins-count statistics known from map analysis in geographic information systems. Assigning phases independently to objects in RD is modelled by a single-trial multinomial random function Z(x), where the probabilities of phases add to one and are explicitly modelled as compositions in the K-part simplex SK. Thus, apparent inconsistencies of the tests based on the conventional joins{count statistics and their possibly contradictory interpretations are avoided. In practical applications we assume that the probabilities of phases do not depend on the location but are identical everywhere in the domain of de nition. Thus, the model involves the sum of r independent identical multinomial distributed 1-trial random variables which is an r-trial multinomial distributed random variable. The probabilities of the distribution of the r counts can be considered as a composition in the Q-part simplex SQ. They span the so called Hardy-Weinberg manifold H that is proved to be a K-1-affine subspace of SQ. This is a generalisation of the well-known Hardy-Weinberg law of genetics. If the assignment of phases accounts for some kind of spatial dependence, then the r-trial probabilities do not remain on H. This suggests the use of the Aitchison distance between observed probabilities to H to test dependence. Moreover, when there is a spatial uctuation of the multinomial probabilities, the observed r-trial probabilities move on H. This shift can be used as to check for these uctuations. A practical procedure and an algorithm to perform the test have been developed. Some cases applied to simulated and real data are presented. Key words: Spatial distribution of crystals in rocks, spatial distribution of phases, joins-count statistics, multinomial distribution, Hardy-Weinberg law, Hardy-Weinberg manifold, Aitchison geometry

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En este trabajo se presenta Capaware, una plataforma de software libre para el desarrollo de aplicaciones geográficas 3D multicapa, que surge a partir de la iniciativa del Instituto Tecnológico de Canarias en colaboración con la Universidad de Las Palmas de Gran Canaria. Este entorno simplifica la creación de aplicaciones 3D sobre territorios geográficos extensos, disponiendo de una herramienta muy visual que aporta un nuevo punto de vista muy importante para una toma de decisiones eficaz. Capaware proporciona una interfaz fácil de usar y muy flexible que simplifica el desarrollo de nuevas aplicaciones, permitiéndonos crear rápidamente entornos virtuales con múltiples capas de información sobre el terreno. Con las capacidades clásicas de un Sistema de Información Geográfica (SIG), Capaware permite actualmente la carga de capas WMS sobre entornos 3D, añadir objetos 3D sobre el terreno, y visualizar elementos dinámicos, ofreciendo una nueva perspectiva de la información analizada. Así mismo, podemos administrar las capas de recursos y elementos que se pueden representar sobre la zona geográfica en cuestión. (...)

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Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one

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This paper presents a tool for the analysis and regeneration of Web contents, implemented through XML and Java. At the moment, the Web content delivery from server to clients is carried out without taking into account clients' characteristics. Heterogeneous and diverse characteristics, such as user's preferences, different capacities of the client's devices, different types of access, state of the network and current load on the server, directly affect the behavior of Web services. On the other hand, the growing use of multimedia objects in the design of Web contents is made without taking into account this diversity and heterogeneity. It affects, even more, the appropriate content delivery. Thus, the objective of the presented tool is the treatment of Web pages taking into account the mentioned heterogeneity and adapting contents in order to improve the performance on the Web

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Se pretende habilitar un espacio de trabajo para el desarrollo de nuevas vías de expresión y comunicación a partir de la creación artística y la imagen; generar un campo de acción que permita reconocer e impulsar formas de percepción, interpretación y representación vehiculizadas a través de la imagen y los materiales artísticos. Se espera ofrecer una vía para la cocreación de dinámicas alternativas en la generación de conocimiento, no mediatizadas por las limitaciones que en forma de déficit, bloqueo o defensa, impone a menudo el lenguaje verbal, y especialmente significativas en el ámbito de las necesidades educativas especiales