Listar Departamento de Informática y Análisis Numérico por título
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BiViCyT: Biblioteca Virtual de Documentos Científicos y Técnicos
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2003)In this paper a Web information system devoted to the administration of scientific and technicians documents that are produced by the university community is presented. BiViCyT allows the management of tha administrative ... -
Borderline kernel based over-sampling
(2017-03-30)Nowadays, the imbalanced nature of some real-world data is receiving a lot of attention from the pattern recognition and machine learning communities in both theoretical and practical aspects, giving rise to di erent ... -
Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
(MDPI, 2021)Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ... -
Cifrado de imágenes y Matemáticas
(Universidad Nacional de La Plata, 2011)Un tema que debe interesar al profesorado de Matemáticas de todos los niveles educativos es cómo hacer comprender a nuestros alumnos la utilidad de los conceptos matemáticos que están estudiando en nuestras asignaturas. ... -
Una clase de aritmética modular, matrices y cifrado para Ingeniería
(Federación Iberoamericana de Educación Matemática (FISEM), 2011)El Álgebra Lineal tiene una gran cantidad de aplicaciones sin embargo se suele abordar casi siempre de una forma bastante abstracta a nivel universitario. Así que para motivar a nuestro alumnado planificamos realizar ... -
A Classification Module for Genetic Programming Algorithms in JCLEC
(MIT Press, 2014)JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ... -
Classification Rule Mining with Iterated Greedy
(2017-03-30)In the context of data mining, classi cation rule discovering is the task of designing accurate rule based systems that model the useful knowledge that di erentiate some data classes from others, and is present in large ... -
Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture
(Elsevier, 2014)Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ... -
Concurrent Validity and Reliability of an Inertial Measurement Unit for the Assessment of Craniocervical Range of Motion in Subjects with Cerebral Palsy
(MDPI, 2020)Objective: This study aimed to determine the validity and reliability of Inertial Measurement Units (IMUs) for the assessment of craniocervical range of motion (ROM) in patients with cerebral palsy (CP). Methods: twenty-three ... -
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 ... -
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 ...