Listar por autoría "e152bdb5-a9e6-43db-8b2b-7a1920e05018"
Mostrando ítems 1-18 de 18
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100 Ejercicios resueltos de Sistemas Operativos
Martínez Sotoca, José; Ribelles, Jose; García-Sevilla, Pedro Universitat Jaume I (2010) -
Band selection in spectral imaging for non-invasive melanoma diagnosis
Quinzán, Ianisse; Martínez Sotoca, José; Latorre Carmona, Pedro; Pla, Filiberto; García-Sevilla, Pedro; Boldó, Enrique Optical Society of America (2013-03-04)A method consisting of the combination of the Synthetic Minority Over-Sampling TEchnique (SMOTE) and the Sequential Forward Floating Selection (SFFS) technique is used to do band selection in a highly imbalanced, small ... -
Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces
Andreu Cabedo, Yasmina; García-Sevilla, Pedro; Mollineda, Ramón A. Springer Verlag (Germany) (2009)Gender recognition problem has not been extensively studied in situations where the face cannot be accurately detected and it also can be partially occluded. In this contribution, a comparison of several characterisation ... -
Experiencia de implantación de la asignatura de Proyecto de Final de Grado en Ingeniería Informática dentro de un contexto empresarial real
López, Angeles; Museros, Lledó; Aramburu Cabo, María José; García-Sevilla, Pedro (2017-07)El Grado en Ingeniería Informática de nuestra universidad integra el proyecto de final de grado y la realización de prácticas externas en una sola asignatura de 18 créditos. Los estudiantes deben realizar 300 horas de ... -
Face gender classification: A statistical study when neutral and distorted faces are combined for training and testing purposes
Andreu Cabedo, Yasmina; García-Sevilla, Pedro; Mollineda, Ramón A. Elsevier (2014-01)This paper presents a thorough study of gender classification methodologies performing on neutral, expressive and partially occluded faces, when they are used in all possible arrangements of training and testing roles. A ... -
Filter banks for hyperspectral pixel classification of satellite images
Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto Springer Verlag (Germany) (2009)Satellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image performing pixel classification. This filters are ... -
Gender recognition from a partial view of the face using local feature vectors
Andreu Cabedo, Yasmina; Mollineda, Ramón A.; García-Sevilla, Pedro Springer Verlag (2009)This paper proposes a gender recognition scheme focused on local appearance-based features to describe the top half of the face. Due to the fact that only the top half of the face is used, this is a feasible approach in ... -
Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection
Rajadell Rojas, Olga; García-Sevilla, Pedro; Viet Cuong Dinh; Duin, Robert P. W. Institute of Electrical and Electronics Engineers (IEEE) (2014)An unsupervised method for selecting training data is suggested here. The method is tested by applying it to hyperspectral land-use classification. The data set is reduced using an unsupervised band selection method and ... -
Influence of color spaces over texture characterization
Rajadell Rojas, Olga; García-Sevilla, Pedro Instituto Politécnico Nacional (Mèxic). Centro de Investigación en Computación (2008)Images are generally represented in the RGB color space. This is the model commonly used for most cameras and for displaying on computer screens. Nevertheless, the representation of color images using this color space has ... -
Integración de las Prácticas Externas y el Trabajo Fin de Grado en Ingeniería Informática
López, Angeles; Museros, Lledó; Aramburu Cabo, María José; García-Sevilla, Pedro Asociación de Enseñantes Universitarios de la Informática. AENUI (2018)El Grado en Ingeniería Informática de la Universitat Jaume I integra el proyecto de final de grado y la realización de prácticas externas en una sola asignatura de 18 créditos. Los estudiantes deben realizar 300 horas de ... -
Introducción a la programación con Python 3
Marzal Varó, Andrés; Gracia Luengo, Isabel; García-Sevilla, Pedro Universitat Jaume I (2014) -
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
Pla, Filiberto; Gracia, Gema; García-Sevilla, Pedro; Mirmehdi, Majid; Xie, Xianghua Springer Berlin Heidelberg (2009)A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that may contain large number of bands. The MLDT ... -
On the influence of spatial information for hyper-spectral satellite imaging characterization
Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto Springer (2011)Land-use classification for hyper-spectral satellite images requires a previous step of pixel characterization. In the easiest case, each pixel is characterized by its spectral curve. The improvementof the spectral and ... -
Prácticas externas y trabajo fin de grado en el Grado en Ingeniería Informática de la Universitat Jaume I
López, Angeles; Rebollo Santamaría, Cristina; Aramburu Cabo, María José; García-Sevilla, Pedro Publicacions de la Universitat Jaume I (2015)Todos los grados de la Universitat Jaume I exigen, además de un trabajo fin de grado, la realización de unas prácticas externas en empresas que son obligatorias para todos los estudiantes. En el nuevo plan de estudios del ... -
Scale Analysis of Several Filter Banks for Color Texture Classification
Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto Springer Berlin Heidelberg (2009)We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes are ... -
Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification
Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a spectral-spatial pixel characterization method for hyperspectral images. The characterization is based on textural features obtained using Gabor filters over a selected set of spectral bands. This ... -
Textural Features for Hyperspectral Pixel Classification
Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto Springer Berlin Heidelberg (2009)Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For this reason, the process of band selection ... -
Unsupervised colour image segmentation by low-level perceptual grouping
Martínez Usó, Adolfo; Pla, Filiberto; García-Sevilla, Pedro Springer (2013-11)This paper proposes a new unsupervised approach for colour image segmentation. A hierarchy of image partitions is created on the basis of a function that merges spatially connected regions according to primary perceptual ...