Search results for "canon"
showing 10 items of 446 documents
Sign and Rank Covariance Matrices: Statistical Properties and Application to Principal Components Analysis
2002
In this paper, the estimation of covariance matrices based on multivariate sign and rank vectors is discussed. Equivariance and robustness properties of the sign and rank covariance matrices are described. We show their use for the principal components analysis (PCA) problem. Limiting efficiencies of the estimation procedures for PCA are compared.
La transformación del presente en la narrativa española contemporánea. Una propuesta: la generación Nocilla.
2013
Resumen : En el marco de la era de la informacion, algunas formas narrativas pueden ser pensadas como el sintoma literario de un cambio en las formas de producir y percibir la cultura. Desde esta perspectiva, se hace urgente el estudio de la influencia de la tecnologia y los medios de comunicacion en la evolucion de ciertas tendencias de la narrativa en el contexto de la Espana de la primera decada del siglo XXI. Este articulo propone la presentacion y analisis de los efectos esteticos e ideologicos de la produccion literaria de la generacion Nocilla en este contexto, asi como la reflexion en torno las circunstancias que pueden haber facilitado la aparicion y consolidacion de la propuesta n…
La memoria de los verdugos de 1936 y la cultura de la impuni(bili)dad en la democracia posfranquista
2020
UIDB/04666/2020 UIDP/04666/2020 Este texto se interesa por los efectos de la producción académica sobre la construcción social del victimario, y se centra en el caso de los victimarios de la guerra española de 1936 y su estatus en la cultura de la democracia posfranquista. Escoge dos obras de especialistas dirigidas al público amplio y rastrea a partir de ellas cómo el tratamiento de los victimarios se encuentra predefinido por un marco que exonera de partida a determinados posibles perpetradores al figurar en la nómina de intelectuales y artistas que conforman el canon cultural del siglo XX. El enfoque alternativo que propone consiste en combinar una hermenéutica de los testimonios de posi…
Rituales, descentramientos territoriales y niveles de identidad: La Semana Santa Marinera de Valencia
2011
The aim of this paper is to study how the processes of spatial and identity recomposition brought about by a globalized world affect traditional religious rituals, with particular reference to the <i>Semana Santa Marinera</i> processions in Valencia (Spain). Instead of the ritual giving rise to a single local identity, it can be seen that levels of local identity —while not disappearing— overlap more and more with increasingly vague new territorialities ranging from processional networks based on canon law to state-organized meetings. Media coverage of the ritual means that new virtual communities with no fixed territorial base are created, and the complexity of this phenomenon …
Tensor decomposition of EEG signals: A brief review
2015
Electroencephalography (EEG) is one fundamental tool for functional brain imaging. EEG signals tend to be represented by a vector or a matrix to facilitate data processing and analysis with generally understood methodologies like time-series analysis, spectral analysis and matrix decomposition. Indeed, EEG signals are often naturally born with more than two modes of time and space, and they can be denoted by a multi-way array called as tensor. This review summarizes the current progress of tensor decomposition of EEG signals with three aspects. The first is about the existing modes and tensors of EEG signals. Second, two fundamental tensor decomposition models, canonical polyadic decomposit…
Computing Sum of Products about the Mean with Pairwise Algorithms
1997
We discuss pairwise algorithms, a kind of computational algorithm which can be useful in dynamically updating statistics as new samples of data are collected. Since test data are usually collected through time as individual data sets, these algorithms would be profitably used in computer programs to treat this situation. Pair-wise algorithms are presented for calculating the sum of products of deviations about the mean for adding a sample of data (or removing one) to the whole data set.
El mito de la historia del arte
2005
Reflexiones sobre la creación del mito de la Historia del Arte, es decir la conversión de la experiencia artística en reflexión histórica e ideológica. El desarrollo de esta disciplina se lleva a cabo a partir de un concepto tomado de la religión: el canon. Se verá también la manera cómo el arte convertido en religión, promueve la aparición de la disciplina que se encargará de crear el cuerpo de creencias necesarias para el mantenimiento de esta religión, y la serie sucesiva de impugnaciones que genera. (A)
Indelibabilità delle dispense "super rato". Divorzio coattivo?
2014
Il lavoro affronta il problema relativo alla riconoscibilità agli effetti civili della dispensa ecclesiastica sul matrimonio rato e non consumato, con particolare riferimento alla legislazione italiana ed europea.
Heisenberg Uncertainty Relation in Quantum Liouville Equation
2009
We consider the quantum Liouville equation and give a characterization of the solutions which satisfy the Heisenberg uncertainty relation. We analyze three cases. Initially we consider a particular solution of the quantum Liouville equation: the Wigner transformf(x,v,t) of a generic solutionψ(x;t) of the Schrödinger equation. We give a representation ofψ(x,t) by the Hermite functions. We show that the values of the variances ofxandvcalculated by using the Wigner functionf(x,v,t) coincide, respectively, with the variances of position operatorX^and conjugate momentum operatorP^obtained using the wave functionψ(x,t). Then we consider the Fourier transform of the density matrixρ(z,y,t) =ψ∗(z,t)…
Fast nosological imaging using canonical correlation analysis of brain data obtained by two-dimensional turbo spectroscopic imaging.
2007
A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI) data. This technique is based on canonical correlation analysis (CCA), a statistical method able to simultaneously exploit the spectral and spatial information characterizing the MRSI data. Here, the performance of CCA is further investigated by using brain data obtained by two-dimensional turbo spectroscopic imaging (2DTSI) from patients affected by glioblastoma. The purpose of this study is to investigate the applicability of CCA when typing tissues of heterogeneous tumors. The performance of CCA is also compared with that of ordinary correlation analysis on s…