Sparse Correlation Kernel Analysis and Reconstruction

This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis functions. The basis functions that we use are the correlation functions of the class of signals we are analyzing. To choose the appropriate features from this large dictionary, we use Support Vector Machine (SVM) regression and compare this to traditional Principal Component Analysis (PCA) for the tasks of signal reconstruction, superresolution, and compression. The testbed we use in this paper is a set of images of pedestrians. This paper also presents results of experiments in which we use a dictionary of multiscale basis functions and then use Basis Pursuit De-Noising to obtain a sparse, multiscale approximation of a signal. The results are analyzed and we conclude that 1) when used with a sparse representation technique, the correlation function is an effective kernel for image reconstruction and superresolution, 2) for image compression, PCA and SVM have different tradeoffs, depending on the particular metric that is used to evaluate the results, 3) in sparse representation techniques, L_1 is not a good proxy for the true measure of sparsity, L_0, and 4) the L_epsilon norm may be a better error metric for image reconstruction and compression than the L_2 norm, though the exact psychophysical metric should take into account high order structure in images.

Behavioral Measures and their Correlation with IPM Iteration Counts on Semi-Definite Programming Problems

We study four measures of problem instance behavior that might account for the observed differences in interior-point method (IPM) iterations when these methods are used to solve semidefinite programming (SDP) problem instances: (i) an aggregate geometry measure related to the primal and dual feasible regions (aspect ratios) and norms of the optimal solutions, (ii) the (Renegar-) condition measure C(d) of the data instance, (iii) a measure of the near-absence of strict complementarity of the optimal solution, and (iv) the level of degeneracy of the optimal solution. We compute these measures for the SDPLIB suite problem instances and measure the correlation between these measures and IPM iteration counts (solved using the software SDPT3) when the measures have finite values. Our conclusions are roughly as follows: the aggregate geometry measure is highly correlated with IPM iterations (CORR = 0.896), and is a very good predictor of IPM iterations, particularly for problem instances with solutions of small norm and aspect ratio. The condition measure C(d) is also correlated with IPM iterations, but less so than the aggregate geometry measure (CORR = 0.630). The near-absence of strict complementarity is weakly correlated with IPM iterations (CORR = 0.423). The level of degeneracy of the optimal solution is essentially uncorrelated with IPM iterations.

Necessary and sufficient conditions for robust stability using modal intervals

In this paper, robustness of parametric systems is analyzed using a new approach to interval mathematics called Modal Interval Analysis. Modal Intervals are an interval extension that, instead of classic intervals, recovers some of the properties required by a numerical system. Modal Interval Analysis not only simplifies the computation of interval functions but allows semantic interpretation of their results. Necessary, sufficient and, in some cases, necessary and sufficient conditions for robust performance are presented

Introducción de la metodología análisis modal de fallos y efectos (AMFE) como herramienta de gestión en una ese del distrito capital de II nivel

El presente trabajo expone la elaboración de un proceso sistemático para la identificación y clasificación de modos de fallo utilizando la metodología ANÁLISIS MODAL DE FALLOS Y EFECTOS (AMFE), como un procedimiento de gran utilidad para mejorar la calidad y seguridad de la prestación de servicios asistenciales. Se analizaron 254 modos de fallo, en el servicio de urgencias de una ESE de II Nivel del Distrito Capital, se utilizó una herramienta de selección de procesos denominada Matriz de Priorización utilizada por el Centro de Gestión Hospitalaria con algunas adaptaciones de acuerdo con las necesidades institucionales. Se calificaron 227 de ellos correspondiendo a un 89,37%. Se entrevistaron 48 médicos, 27 enfermeras, 27 auxiliares de enfermería y 9 camilleros, para un total de 111 colaboradores que corresponden al 30% del total del personal del servicio de urgencias. Se generó una hoja de control de calidad (aceptación) del ejercicio con un porcentaje total del 85%, teniendo como resultado que 102 personas de las 111 encuestadas, diligenciaron correctamente la totalidad de los campos del formato AMFE. Se buscó Implementar el uso de la metodología AMFE como herramienta de gestión y mejora de procesos institucionales, realizando una prueba piloto al proceso seleccionado y evaluando si esta metodología se podía aplicar a otros procesos asistenciales. Se observó que de la totalidad de los modos de fallo el mayor valor de criticidad se encontró en el rango de 45 puntos. Se determinaron 11 modos de fallos en esta categoría, los cuales se encuentran dos asociados dos están asociados con el acceso del paciente a la institución, siete relacionados con el Registro e Ingreso del usuario, uno relacionado con la planeación de la atención y dos relacionados con la ejecución del tratamiento. Palabras claves: Análisis Modal De Fallos y Efectos (AMFE), urgencias, mejora continua.

Dynamic conditional correlation in Latin-American asset markets

In this paper we reviewed the models of volatility for a group of five Latin American countries, mainly motivated by the recent periods of financial turbulence. Our results based on high frequency data suggest that Dynamic multivariate models are more powerful to study the volatilities of asset returns than Constant Conditional Correlation models. For the group of countries included, we identified that domestic volatilities of asset markets have been increasing; but the co-volatility of the region is still moderate.

Memoria y música : estructura desde el modelo modal.

Resumen basado en el de la publicación. Resumen en inglés

Funciones comunicativas de la perífrasis modal poder + infinitivo en la enseñanza del español : una propuesta metodológica.

Resumen basado en el de la publicación

La oposición modal indicativo-subjuntivo en la gramática de español como lengua extranjera.

Se pretende dar una visión de la oposición modal indicativo y subjuntivo. Se realiza un repaso sobre las reglas tradicionales de este fenómeno, y se muestra un propuesta de planteamiento para una clase de ELE.

Sample size planning for multiple correlation : reply to Shieh (2013)

Resumen tomado de la publicaci??n

Gram??tica y pragm??tica en la adquisici??n de ELE : la alternancia modal en las estructuras condicionales

Resumen basado en el de la publicaci??n

Estrategias de ense??anza para un aprendizaje significativo del sistema verbal y modal espa??ol

Resumen basado en el de la publicaci??n

The mapping of the local contributions of Fermi and Coulomb correlation into intracule and extracule density distributions

The contributions of the correlated and uncorrelated components of the electron-pair density to atomic and molecular intracule I(r) and extracule E(R) densities and its Laplacian functions ∇2I(r) and ∇2E(R) are analyzed at the Hartree-Fock (HF) and configuration interaction (CI) levels of theory. The topologies of the uncorrelated components of these functions can be rationalized in terms of the corresponding one-electron densities. In contrast, by analyzing the correlated components of I(r) and E(R), namely, IC(r) and EC(R), the effect of electron Fermi and Coulomb correlation can be assessed at the HF and CI levels of theory. Moreover, the contribution of Coulomb correlation can be isolated by means of difference maps between IC(r) and EC(R) distributions calculated at the two levels of theory. As application examples, the He, Ne, and Ar atomic series, the C2-2, N2, O2+2 molecular series, and the C2H4 molecule have been investigated. For these atoms and molecules, it is found that Fermi correlation accounts for the main characteristics of IC(r) and EC(R), with Coulomb correlation increasing slightly the locality of these functions at the CI level of theory. Furthermore, IC(r), EC(R), and the associated Laplacian functions, reveal the short-ranged nature and high isotropy of Fermi and Coulomb correlation in atoms and molecules

Systematic study of the static electrical properties of the CO molecule: influence of the basis set size and correlation energy

The influence of the basis set size and the correlation energy in the static electrical properties of the CO molecule is assessed. In particular, we have studied both the nuclear relaxation and the vibrational contributions to the static molecular electrical properties, the vibrational Stark effect (VSE) and the vibrational intensity effect (VIE). From a mathematical point of view, when a static and uniform electric field is applied to a molecule, the energy of this system can be expressed in terms of a double power series with respect to the bond length and to the field strength. From the power series expansion of the potential energy, field-dependent expressions for the equilibrium geometry, for the potential energy and for the force constant are obtained. The nuclear relaxation and vibrational contributions to the molecular electrical properties are analyzed in terms of the derivatives of the electronic molecular properties. In general, the results presented show that accurate inclusion of the correlation energy and large basis sets are needed to calculate the molecular electrical properties and their derivatives with respect to either nuclear displacements or/and field strength. With respect to experimental data, the calculated power series coefficients are overestimated by the SCF, CISD, and QCISD methods. On the contrary, perturbation methods (MP2 and MP4) tend to underestimate them. In average and using the 6-311 + G(3df) basis set and for the CO molecule, the nuclear relaxation and the vibrational contributions to the molecular electrical properties amount to 11.7%, 3.3%, and 69.7% of the purely electronic μ, α, and β values, respectively

Basis set and electron correlation effects on initial convergence for vibrational nonlinear optical properties of conjugated organic molecules

The level of ab initio theory which is necessary to compute reliable values for the static and dynamic (hyper)polarizabilities of three medium size π-conjugated organic nonlinear optical (NLO) molecules is investigated. With the employment of field-induced coordinates in combination with a finite field procedure, the calculations were made possible. It is stated that to obtain reasonable values for the various individual contributions to the (hyper)polarizability, it is necessary to include electron correlation. Based on the results, the convergence of the usual perturbation treatment for vibrational anharmonicity was examined