Prospects for women's legislative representation in postsocialist Europe: the views of female politicians

Research on women’s political representation in post-socialist Europe has highlighted the role of cultural and political factors in obstructing women’s access to legislative power, such as the prevalence of traditional gender stereotypes, electoral systems, and the absence of a feminist movement. Yet the role of women political elites in enhancing or hindering women’s access to political power in the region has so far remained uncharted. This article seeks to fill some of the existing gaps in this literature by examining the views of women politicians with regard to women’s political underrepresentation and their assessments of strategies for redressing this imbalance. Findings from the analysis reveal that although women politicians recognize gender inequalities in representation as a problem requiring intervention, how the problem is perceived, and the preferred measures to deal with it, is largely shaped by the social and cultural context in which these actors are embedded.

Robust visual tracking based on online learning sparse representation

Handling appearance variations is a very challenging problem for visual tracking. Existing methods usually solve this problem by relying on an effective appearance model with two features: (1) being capable of discriminating the tracked target from its background, (2) being robust to the target's appearance variations during tracking. Instead of integrating the two requirements into the appearance model, in this paper, we propose a tracking method that deals with these problems separately based on sparse representation in a particle filter framework. Each target candidate defined by a particle is linearly represented by the target and background templates with an additive representation error. Discriminating the target from its background is achieved by activating the target templates or the background templates in the linear system in a competitive manner. The target's appearance variations are directly modeled as the representation error. An online algorithm is used to learn the basis functions that sparsely span the representation error. The linear system is solved via ℓ1 minimization. The candidate with the smallest reconstruction error using the target templates is selected as the tracking result. We test the proposed approach using four sequences with heavy occlusions, large pose variations, drastic illumination changes and low foreground-background contrast. The proposed approach shows excellent performance in comparison with two latest state-of-the-art trackers.

Low-rank representation based action recognition

Human action recognition is an important problem in computer vision, which has been applied to many applications. However, how to learn an accurate and discriminative representation of videos based on the features extracted from videos still remains to be a challenging problem. In this paper, we propose a novel method named low-rank representation based action recognition to recognize human actions. Given a dictionary, low-rank representation aims at finding the lowestrank representation of all data, which can capture the global data structures. According to its characteristics, low-rank representation is robust against noises. Experimental results demonstrate the effectiveness of the proposed approach on several publicly available datasets.

‘The Problem of the Future in Nineteenth-Century Spain’

This article examines the problems and paradoxes in the representation of the future in three nineteenth-century Spanish works: El futuro Madrid (1868) by Fernández de los Ríos, ‘Madrid en el siglo xxi’ (1847) by Neira de Mosquera, and Ni en la vida ni en la muerte by Juan Bautista Amorós (Silverio Lanza). While these texts demonstrate Spain’s participation in the general movement towards using the future as a setting for literary works, they do not corroborate the theory that the nineteenth century was a time of optimism and belief in the doctrine of Progress. Concepts derived from discussions of the future in the history of ideas, such as historia magistra vitae, are shown to be relevant to discussion of these futuristic fictions, in sometimes unexpected ways.