The (partisan) role of the press in direct democratic campaigns : Evidence from a Swiss vote on European integration

This article analyzes the role of the press in direct democratic campaigns. The paper argues the press has a dual role: On news pages, newspapers ought to inform citizens about the issue positions and frames of the pro and con camps in a balanced way. In editorials, newspapers act as political advocates that promote their own issue frames and try to shape public opinion through voting recommendations. Comparing the issue positions and frames in editorials and news reports in the run-up to the vote on the popular initiative "Yes to Europe" in Switzerland, this article shows that newspapers give similar visibility to the pro and con camps regardless of the papers' own editorial position. However, some newspapers favor issue frames that are in line with their editorial perspectives. In conclusion, newspapers are more similar in news report content than in editorial views.

Semi-supervised remote sensing image classification with cluster kernels

A semisupervised support vector machine is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictions.

Estimating biophysical variable dependences with kernels

This paper introduces a nonlinear measure of dependence between random variables in the context of remote sensing data analysis. The Hilbert-Schmidt Independence Criterion (HSIC) is a kernel method for evaluating statistical dependence. HSIC is based on computing the Hilbert-Schmidt norm of the cross-covariance operator of mapped samples in the corresponding Hilbert spaces. The HSIC empirical estimator is very easy to compute and has good theoretical and practical properties. We exploit the capabilities of HSIC to explain nonlinear dependences in two remote sensing problems: temperature estimation and chlorophyll concentration prediction from spectra. Results show that, when the relationship between random variables is nonlinear or when few data are available, the HSIC criterion outperforms other standard methods, such as the linear correlation or mutual information.

Recent advances in remote sensing image processing

Remote sensing image processing is nowadays a mature research area. The techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics, and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, image coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This paper serves as a survey of methods and applications, and reviews the last methodological advances in remote sensing image processing.

Multi-source composite kernels for urban image classification

This letter presents advanced classification methods for very high resolution images. Efficient multisource information, both spectral and spatial, is exploited through the use of composite kernels in support vector machines. Weighted summations of kernels accounting for separate sources of spectral and spatial information are analyzed and compared to classical approaches such as pure spectral classification or stacked approaches using all the features in a single vector. Model selection problems are addressed, as well as the importance of the different kernels in the weighted summation.

Cluster-based active learning for compact image classification

In this paper, we consider active sampling to label pixels grouped with hierarchical clustering. The objective of the method is to match the data relationships discovered by the clustering algorithm with the user's desired class semantics. The first is represented as a complete tree to be pruned and the second is iteratively provided by the user. The active learning algorithm proposed searches the pruning of the tree that best matches the labels of the sampled points. By choosing the part of the tree to sample from according to current pruning's uncertainty, sampling is focused on most uncertain clusters. This way, large clusters for which the class membership is already fixed are no longer queried and sampling is focused on division of clusters showing mixed labels. The model is tested on a VHR image in a multiclass classification setting. The method clearly outperforms random sampling in a transductive setting, but cannot generalize to unseen data, since it aims at optimizing the classification of a given cluster structure.

Sens et non-sens de la violence : nouvelles expressions, nouvelles approches.

Retrouver le sens de la violence est une démarche certes essentielle, mais non suffisante. Il s'agit aussi d'aller au-delà du sens et de revoir sans cesse les réponses aux expressions nouvelles et inattendues des phénomènes violents, individuels ou collectifs. Cherchant à dépasser une dramatisation de la problématique de la violence des jeunes, ce livre offre des perspectives de réflexion et d'action utiles aux professionnels de la santé mentale des enfants et des adolescents, et plus largement à tous les partenaires du réseau social, éducatif et scolaire. 1. Définition et sources de la violence : Infamies d'enfance. - Agressivité, haine et destructivité: les racines de la violence. - L'enfance des patients adultes diagnostiqués de "paraphilie". - La violence, ses sources pulsionnelles et sa genèse psychique. 2. Formes de violence : Réalités et énigmes de la sexualité infantile déviante. - Les parents battus. - Le harcèlement entre jeunes du même âge. L'arrière-plan familial des jeunes impliqués. - Comportements psychopathiques et réactivité traumatique. - La transgression dans les camps d'extermination nazis. Perdre son âme. Sauver la vie. 3. Psychopathologie. 4. Traitements : De la consommation de substances à la dépendance: un modèle intégratif. - Agressivité et transfert dans le quotidien psychothérapeutique. - Expériences d'interventions au niveau des cellules d'urgences médico-psychologiques. - Sens et non-sens de la violence. - Violences et soins à l'adolescence. - Evacuation et représentation de la violence chez l'enfant psychotique. - La violence pulsionnelle et ses répercussions transférentielles. - Dystraitance. Un accompagnement institutionnel.

La controverse avant le film : quelle politique pour Good Night, And Good Luck ?

This article aims to explain how newspapers commented on the movie Good Night, and Good Luck before its release. The media coverage anticipated George Clooney's film as a partisan attack launched against George W. Bush's policy since 9/11. Clooney advocates another reading: the historic confrontation between journalist Edward Murrow and Senator Joseph McCarty permits to reflect on the crucial role that the media play for democracy. Such reflection tries to prevent the dividing of the public sphere into antagonistic camps opposing "friends" to "foes," a division that undermines the possibility of a true pluralism. Our socio-semiotic analysis will focus on the critical work accomplished by the media, and on the way that work determines the collective meaning of a cultural object. Simultaneously, we will discuss the necessary conditions for pluralism in a public sphere.

Same Performance Changes after Live High-Train Low in Normobaric vs. Hypobaric Hypoxia.

PURPOSE: We investigated the changes in physiological and performance parameters after a Live High-Train Low (LHTL) altitude camp in normobaric (NH) or hypobaric hypoxia (HH) to reproduce the actual training practices of endurance athletes using a crossover-designed study. METHODS: Well-trained triathletes (n = 16) were split into two groups and completed two 18-day LTHL camps during which they trained at 1100-1200 m and lived at 2250 m (P i O2 = 111.9 ± 0.6 vs. 111.6 ± 0.6 mmHg) under NH (hypoxic chamber; FiO2 18.05 ± 0.03%) or HH (real altitude; barometric pressure 580.2 ± 2.9 mmHg) conditions. The subjects completed the NH and HH camps with a 1-year washout period. Measurements and protocol were identical for both phases of the crossover study. Oxygen saturation (S p O2) was constantly recorded nightly. P i O2 and training loads were matched daily. Blood samples and VO2max were measured before (Pre-) and 1 day after (Post-1) LHTL. A 3-km running-test was performed near sea level before and 1, 7, and 21 days after training camps. RESULTS: Total hypoxic exposure was lower for NH than for HH during LHTL (230 vs. 310 h; P < 0.001). Nocturnal S p O2 was higher in NH than in HH (92.4 ± 1.2 vs. 91.3 ± 1.0%, P < 0.001). VO2max increased to the same extent for NH and HH (4.9 ± 5.6 vs. 3.2 ± 5.1%). No difference was found in hematological parameters. The 3-km run time was significantly faster in both conditions 21 days after LHTL (4.5 ± 5.0 vs. 6.2 ± 6.4% for NH and HH), and no difference between conditions was found at any time. CONCLUSION: Increases in VO2max and performance enhancement were similar between NH and HH conditions.