Hidden Conditional Random Fields for Visual Speech Recognition

In this paper we present the application of Hidden Conditional Random Fields (HCRFs) to modelling speech for visual speech recognition. HCRFs may be easily adapted to model long range dependencies across an observation sequence. As a result visual word recognition performance can be improved as the model is able to take more of a contextual approach to generating state sequences. Results are presented from a speaker-dependent, isolated digit, visual speech recognition task using comparisons with a baseline HMM system. We firstly illustrate that word recognition rates on clean video using HCRFs can be improved by increasing the number of past and future observations being taken into account by each state. Secondly we compare model performances using various levels of video compression on the test set. As far as we are aware this is the first attempted use of HCRFs for visual speech recognition.

Light-color and body-mass. The subjectivity of the Argentinean nation, according to the painting of Pío Collivadino

Pío Collivadino was a highly recognized painter in life, occupying the most important charges in the artistic field and receiving awards in his country and abroad, which turned him into an inescapable reference of young Argentinean artists who earned recognition throughout the twentieth century. Why, then, with the time, his work began to fall to the wayside? In response to this question, the present article, based on the analysis of the work of that artist, proposes to problematize the notion of subjectivity, both in its individual dimension and its national character, underlining the role that the figure of the artist meets for its formation. Developing the concepts of light-color and body-mass, from Collivadino painting, this article will attempt to explain the relation between the emergence of an Argentinean subjectivity, at the beginning of 20th century, and the art, not only at the level of the issues addressed, but, especially, taking into consideration its formal characteristics.

Recognition and Redistribution in Theories of Justice Beyond the State

We consider here how cultural and socioeconomic dimensions of justice beyond the state are related. First we examine cosmopolitan theories that have drawn on John Rawls's egalitarian liberal framework to argue that a just global order requires substantive, transnational redistribution of material resources. We then assess the view, ironically put forward by Rawls himself, that this perspective is ethnocentric and insufficiently tolerant of non-liberal cultures. We argue that Rawls is right to be concerned about the danger of ethnocentrism, but wrong to assume that this requires us to reject the case for substantive redistribution across state boundaries. A more compelling account of justice beyond the state will integrate effectively socioeconomic and cultural aspects of justice. We suggest that this approach is best grounded in a critical theory of recognition that responds to the damage caused to human relations by legacies of historical injustice.