4 research outputs found

    (OBIFS) isotropic image analysis for improving a predicting agent based systems

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    In this interdisciplinary study a novel hybrid forecasting system is presented, in which an isotropic buffer operator is applied for case-based creation within the structure of the organization-based multi-agent system. Commonly used as an image analysis technique by commercial Geographic Information Systems (GIS), the buffer operator in this particular system calculates the area of a forest fire for prediction and visualization tasks. The use of the buffer operator improves the quality of the data used by the system and in consequence the quality of the results obtained. The system has been successfully tested using real historical data on forest fires evolution, by generating accurate predictions

    Circular Order Aggregation and Its Application to Cell-Cycle Genes Expressions

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    Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics

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    This paper proposes a method to enhance video object detection for indoor environments in robotics. Concretely, it exploits knowledge about the camera motion between frames to propagate previously detected objects to successive frames. The proposal is rooted in the concepts of planar homography to propose regions of interest where to find objects, and recursive Bayesian filtering to integrate observations over time. The proposal is evaluated on six virtual, indoor environments, accounting for the detection of nine object classes over a total of ∼ 7k frames. Results show that our proposal improves the recall and the F1-score by a factor of 1.41 and 1.27, respectively, as well as it achieves a significant reduction of the object categorization entropy (58.8%) when compared to a two-stage video object detection method used as baseline, at the cost of small time overheads (120 ms) and precision loss (0.92).</p

    Procedimientos estadísticos para modelos circulares con restricciones de orden aplicados al análisis de expresiones de genes

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    Esta tesis supone una contribución al estudio de problemas estadísticos en modelos circulares con restricciones. Se aborda por un lado, resolver el problema teórico de agregación de órdenes circulares y por otro lado, el contraste de igualdad de órdenes circulares en dos o más poblaciones. El estudio de estos problemas surge de la necesidad de resolver varias cuestiones en el ámbito de la biología molecular a partir del análisis de datos de expresiones de genes asociados al ciclo celular. Como resultado de aplicar los procedimientos desarrollados se ha descubierto un conjunto de 7 genes cuyos momentos de máxima expresión siguen el mismo orden a lo largo del ciclo celular de S.pombe, S.cerevisiae y Humanos. Con objeto de facilitar al usuario la utilización de los procedimientos diseñados se ha implementado en el lenguaje R toda la metodología desarrollada dando lugar a un paquete denominado isocir y disponible en el CRANDepartamento de Estadística e Investigación Operativ
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