Recent communication research concerning participatory politics has found that the effects of media, especially campaign ads, conventional news, and online political resources, are largely mediated through interpersonal discussion about politics. This article extends this line of theorizing about the role of political conversation in citizen competence by testing an O-S-R-O-R model of campaign ...

The paper focuses on the domain of image segmentation by optimal approximations that minimally differ from the image of N pixels in the standard deviation  or total squared error 2  N E  . Although related approaches, namely Otsu methods [1, 2], K-means method [3] and Mumford-Shah model [4–7] have a long history, the opportunities of minimizing of the total squared error E are far from being...

s. m. shah

Zhai and Shah (2006) proposed a model of spatiotemporal saliency using a combination of temporal and spatial attention models. The temporal model utilized Lowe’s SIFT (2004) to compute feature points and the correspondences between them in successive frames. Bay, Tuytelaars, & Van Gool introduced SURF (2006) as an alternative feature detector and descriptor. The authors of SURF show that it is ...

We prove that, if u is a function satisfying all Euler conditions for the Mumford-Shah functional and the discontinuity set of u is given by three line segments meeting at the origin with equal angles, then there exists a neighbourhood U of the origin such that u is a minimizer of the Mumford-Shah functional on U with respect to its own boundary conditions on ∂U . The proof is obtained by using...

The Mumford-Shah functional, introduced to study image segmentation problems, is approximated in the sense of F-convergence by a séquence of intégral functionals defined on piecewise affine functions. Résumé. La fonctionnelle de Mumford et Shah, proposée pour l'étude du problème de la segmentation d'images, est approchée au sens de la F-convergence par une suite de fonctionnelles intégrales déf...

This paper presents a novel adaptive vision system for accurate segmentation of tissue structures in echographic medical images. The proposed vision system incorporates a level-set deformable model based on a modified Mumford-Shah functional, which is estimated over sparse foreground and background regions in the image. This functional is designed so that it copes with the intensity inhomogenei...

Formulae for the number of branch points of one-dimensional orbifolds defined over a non-archimedean local field and uniformisable by discrete projective linear groups are given. They depend only on the uniformising group. The method of equivariant pasting reveals the possible relative position of the branch points.