Buscar
Mostrando ítems 1-10 de 146
ICA applied to image feature extractionICA aplicado a la extracción de características en imágenes
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
Independent component analysis applied to raman spectra for classification of in vitro human coronary arteries
(TAYLOR & FRANCIS INC, 2008)
Optical diagnostic methods, such as near-infrared Raman spectroscopy allow quantification and evaluation of human affecting diseases, which could be useful in identifying and diagnosing atherosclerosis in coronary arteries. ...
Detection of Auditory Cortex Activity by fMRI Using a Dependent Component Analysis
(SPRINGER-VERLAG BERLIN, 2010)
Functional MRI (fMRI) data often have low signal-to-noise-ratio (SNR) and are contaminated by strong interference from other physiological sources. A promising tool for extracting signals, even under low SNR conditions, ...
Independent component analysis of MODIS-NDVI data in a large South American wetland
(Taylor & Francis, 2012-09)
Monthly images of Normalized Difference Vegetation Index (NDVI) from the moderate resolution imaging spectroradiometer (MODIS) are used to characterize the spatio-temporal variability of vegetation in a large South American ...
A novel method for power quality multiple disturbance decomposition based on Independent Component Analysis
(ELSEVIER SCI LTDOXFORD, 2012)
In this paper, a novel method for power quality signal decomposition is proposed based on Independent Component Analysis (ICA). This method aims to decompose the power system signal (voltage or current) into components ...
On the conditions for valid objective functions in blind separation of independent and dependent sources
(Springer, 2012-10)
It is well known that independent sources can be blindly detected and separated, one by one, from linear mixtures by identifying local extrema of certain objective functions (contrasts), like negentropy, Non-Gaussianity ...
Robust parallel fast-ICA algorithms using batch and adaptive MMSE estimators
(Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación, 2012)
All the algorithms for ICA require high-order statistics to estimate the independent components. This is because second-order information is insufficient to assess that two random variables are independent of each other. ...
Independent component analysis for internet gaming disorder
Introduction: There is a growing interest in the study of the neurobiological correlates of internet gaming disorder (IGD), and new techniques are beginning to be implemented for this purpose, such as independent component ...
Modelo de variables latentes para la identificación del infarto agudo del miocardio análisis de componentes independientes
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)