The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...

objective(s): adsorption of immucillin-a (bcx4430) molecule on the pristine and n-doped tio2 anatase nanoparticles were studied using the density functional theory (dft) calculations. the adsorption energy analysis indicated that tio2+immucillin-a complexes including oc-substituted tio2 have higher adsorption energy than the complexes with ot substituted tio2, thus providing more stable configu...

we have performed density functional theory investigations on the adsorption properties of ammonia molecule on the undoped and n-doped tio2 anatase nanoparticles. we have geometrically optimized the constructed undoped and n-doped nanoparticles in order to fully understand the adsorption behaviors of ammonia molecule. for tio2 anatase nanoparticles, the binding site is preferentially located on...

We propose a principal curve tracing algorithm that uses the gradient and the Hessian of a given density estimate. Curve definition requires the local smoothness of data density and is based on the concept of subspace local maxima. Tracing of the curve is handled through the leading eigenvector where fixed-step updates are used. We also propose an image segmentation algorithm based on the origi...

The nonparametric estimation of the m-fold convolution power of an unknown function f is considered. We introduce an estimator based on a plug-in approach and a wavelet hard thresholding estimator. We explore its theoretical asymptotic performances via the mean integrated squared error assuming that f has a certain degree of smoothness. Applications and numerical examples are given for the stan...

A data-driven method of choosing the bandwidth, h, of a kernel density estimator is proposed. It is seen that this mean& of selecting h is asymptotically equivalent to taking the h that minimizes a certain weighted version of the mean integrated square error. Thus, for a given kernel function, the bandwidth can be chosen optimally without making precise smoothness assumptions on the underlying ...

We propose a principal curve tracing algorithm that uses the gradient and the Hessian of a given density estimate. Curve definition requires the local smoothness of data density and is based on the concept of subspace local maxima. Tracing of the curve is handled through the leading eigenvector where fixed-step updates are used. We also propose an image segmentation algorithm based on the origi...

We investigate the relation of the semigroup probability density of an infinite activity Lévy process to the corresponding Lévy density. For subordinators, we provide three methods to compute the former from the latter. The first method is based on approximating compound Poisson distributions, the second method uses convolution integrals of the upper tail integral of the Lévy measure and the th...