Listar Departamento de Informática y Análisis Numérico por título
Mostrando ítems 62-81 de 254
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Contribuciones a la estimación de pose de cámara
(Universidad de Córdoba, UCOPress, 2016)El problema cuya resolución tiene como objetivo determinar la orientación y localización de una cámara respecto a un sistema de coordenadas se denomina Estimación de la pose de la cámara. Las soluciones basadas en imágenes ... -
Contribuciones a la sintonía de controladores basados en eventos
(Universidad de Córdoba, Servicio de Publicaciones, 2014)Dentro del paradigma del control automático, las estrategias de control basado en eventos se postulan como una posible solución para satisfacer los requisitos de los actuales procesos de control distribuidos. La creciente ... -
Contribuciones sobre métodos óptimos y subóptimos de aproximaciones poligonales de curvas 2-D
(Universidad de Córdoba, UCOPress, 2016)Esta tesis versa sobre el an álisis de la forma de objetos 2D. En visión articial existen numerosos aspectos de los que se pueden extraer información. Uno de los más usados es la forma o el contorno de esos objetos. Esta ... -
Contribución al reconocimiento de objetos 2D mediante aproximaciones poligonales
(Universidad de Córdoba, UCOPress, 2017)En la presente Tesis Doctoral se realizan aportaciones novedosas en las etapas de descripción e interpretación del proceso de reconocimiento de objetos bidimensionales. Se proponen nuevas técnicas de umbralización unimodal ... -
Contributions to camera pose estimation and three-dimensional reconstruction
(Universidad de Córdoba, UCOPress, 2016)Camera pose estimation is a fundamental step in numerous computer vision applications such as robotics, augmented reality or 3D reconstruction. This thesis presents a set of contributions related to pose estimation ... -
Contributions to camera pose estimation in industrial augmented reality applications
(Universidad de Córdoba, UCOPress, 2022)Augmented Reality (AR) aims to complement the visual perception of the user environment superimposing virtual elements. The main challenge of this technology is to combine the virtual and real world in a precise and natural ... -
Contributions to gait recognition using multiple views
(Universidad de Córdoba, UCOPress, 2016)Esta tesis se centra en la identificación de personas a través de la forma de caminar. El problema del reconocimiento del paso ha sido tratado mediante diferentes enfoques, en los dominios 2D y 3D, y usando una o ... -
Contributions to Robust Multi-view 3D Action Recognition
(Universidad de Córdoba, Servicio de Publicaciones, 2012)This thesis focus on human action recognition using volumetric reconstructions obtained from multiple monocular cameras. The problem of action recognition has been addressed using di erent approaches, both in the 2D and ... -
Contributions to the use of fiducial markers in Autonomous Navigation and Augmented Reality
(Universidad de Córdoba, UCOPress, 2021)Square planar markers are a widely used tools for localization and tracking due to their low cost and high performance. Many applications in Robotics, Unmanned Vehicles and Augmented Reality employ these markers for camera ... -
Cooperative coevolution of artificial neural network ensembles for pattern classification
(IEEE, 2005)This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative ... -
Cooperative coevolutionary instance selection for multilabel problems
(Elsevier, 2021)Multilabel classification as a data mining task has recently attracted greater research interest. Many current data mining applications address problems having instances that belong to more than one class, which requires ... -
Cost-effective techniques for patient positioning in percutaneous radiotherapy using optical imaging systems
(Universidad de Córdoba, UCOPress, 2021)Patient positioning is an important part of radiation therapy which is one of the main solutions for the treatment of malignant tissue in the human body. Currently, the most common patient positioning methods expose healthy ... -
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns
(Springer, 2022)To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dropout rate. ... -
COVNET : A cooperative coevolutionary model for evolving artificial neural networks
(IEEE, 2003)This paper presents COVNET, a new cooperative coevolutionary model for evolving artificial neural networks. This model is based on the idea of coevolving subnetworks. that must cooperate to form a solution for a specific ... -
CRIBEL: Lifelong learning social network governed by academic institutions: an affordable serverless model in the cloud
(IATED, 2023)Academic institutions, teachers, students and workers are facing important changes in the way they organise work and training in new skills demanded by companies in the face of the new challenges of society in general ... -
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?
(MDPI, 2022)Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ... -
Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation
(Wiley, 2022)Cancer is the leading cause of death after liver transplantation (LT). This multicenter case–control nested study aimed to evaluate the effect of maintenance immunosuppression on post-LT malignancy. The eligible cohort ... -
Deep learning techniques for ordinal spatial data and applications in medical imaging
(Universidad de Córdoba, UCOPress, 2024)This thesis navigates the intersection of deep learning and ordinal regression, aiming to address the challenges inherent in ordinal tasks, particularly within medical image diagnosis. The primary contributions unfold ... -
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
(MDPI, 2024)Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ... -
Democratization of advanced models for data science
(Universidad de Córdoba, UCOPress, 2024)En las últimas décadas, la mayoría de las empresas y organizaciones han generado y almacenado enormes cantidades de datos procedentes de diversas fuentes como transacciones financieras, interacciones con clientes, registros ...