Zobrazeno 1 - 10
of 46
pro vyhledávání: '"J.M. Leiva Murillo"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:151-161
Many remote sensing data processing problems are inherently constituted by several tasks that can be solved either individually or jointly. For instance, each image in a multitemporal classification setting could be taken as an individual task. Here,
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 42:1180-1189
In this paper, we provide a unified study of the application of kernel density estimators to supervised linear feature extraction by means of criteria inspired by information and detection theory. We enrich this study by the incorporation of two nove
Publikováno v:
Pattern Recognition Letters. 33:1717-1724
In machine learning and statistics, kernel density estimators are rarely used on multivariate data due to the difficulty of finding an appropriate kernel bandwidth to overcome overfitting. However, the recent advances on information-theoretic learnin
Autor:
J. Del Ser, M. Miranda, Sancho Salcedo-Sanz, Itziar Landa-Torres, María Jesús Segovia-Vargas, J.M. Leiva-Murillo, E. G. Ortiz-Garcia, Sergio Gil-Lopez
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 6:388-398
The internationalization of a company is widely understood as the corporative strategy for growing through external markets. It usually embodies a hard process, which affects diverse activities of the value chain and impacts on the organizational str
Autor:
J.M. Leiva-Murillo, Ángel M. Pérez-Bellido, Jose A. Portilla-Figueras, Emilio G. Ortiz-García, Sancho Salcedo-Sanz
Publikováno v:
Computers & Graphics. 31:750-760
A picture-logic puzzle is a game that takes the form of an NxM grid, with numbers situated on the left of its rows and on the top of its columns, which give the clues for solving the puzzle. These puzzles have gained popularity in the last years all
Publikováno v:
IEEE Transactions on Neural Networks. 18:1433-1441
In this paper, we present a novel scheme for linear feature extraction in classification. The method is based on the maximization of the mutual information (MI) between the features extracted and the classes. The sum of the MI corresponding to each o
Publikováno v:
SPIE Proceedings.
Many remote sensing data processing problems are inherently constituted by several tasks that can be solved either individually or jointly. For instance, each image in a multitemporal classification setting could be taken as an individual task but re
Autor:
Antonio Ceverino, Mònica Gratacòs, José Fernández-Piqueras, Xavier Estivill, Antonio Artés-Rodríguez, Montserrat Diaz-Hernandez, J.M. Leiva-Murillo, Ricardo Santiago-Mozos, Ramin V. Parsey, Carmen Diaz-Sastre, J. John Mann, Jerónimo Saiz-Ruiz, M. Mercedes Perez-Rodriguez, Mario de Prado-Cumplido, Concepción Vaquero-Lorenzo, Enrique Baca-García, Mònica Bayés, Angel Carracedo, Pablo Fernández-Navarro, Javier Costas, Maria A. Oquendo, Enrique Baca-Baldomero, Jose de Leon
Publikováno v:
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics.
Despite marked morbidity and mortality associated with suicidal behavior, accurate identification of individuals at risk remains elusive. The goal of this study is to identify a model based on single nucleotide polymorphisms (SNPs) that discriminates
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
In this paper we present a novel approach to the problem of speaker segmentation, which is an unavoidable previous step to audio indexing. Mutual information is used for evaluating the accuracy of the segmentation, as a function to be maximized by a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a917b720f760d6ba50d4f5992997184b
https://doi.org/10.1016/j.engappai.2007.07.002
https://doi.org/10.1016/j.engappai.2007.07.002
Autor:
J.C. Alonso-Bayal, Antonio Artés-Rodríguez, J.M. Leiva-Murillo, Ricardo Santiago-Mozos, Marcelino Lázaro
Publikováno v:
AVSS
We implement a fixed-point real-time identification system and provide tools for the optimal design of exponential lookup-tables. This intelligent surveillance system is based on infrared image processing, which allows to detect and track people and