BACKGROUND This study aimed to evaluate whether social capital could alleviate health inequality against racial discrimination and identify the critical nature of social capital that generates health inequality differences within the social context of South Korea. METHODS Using the data of the 2009 National Survey of Multicultural Families, a nationally representative sample in which 40,430 f...

The lack of faulty condition data reduces the feasibility supervised learning for fault detection or severity discrimination in new manufacturing technologies. To deal with this issue, one-class arises building binary discriminative models using only healthy data. However, these have not been extrapolated to discrimination. This paper proposes extend OCSVM, which is typically used detection, 3D...

The aim of this paper is to show that school segregation not only has an impact on achievement, but also more qualitative issues such as the perception inequalities and feeling discrimination. I propose explanation for why being trapped in segregated, ‘disreputable’ public schools, a which shared among people from disadvantaged immigrant backgrounds, well parts lower-middle class, deep social c...

In the field of information theory, statistics and other application areas, the information-theoretic divergences are used widely. To meet the requirement of metric properties, we introduce a class of new metrics based on triangular discrimination which are bounded. Moreover, we obtain some sharp inequalities for the triangular discrimination and other information-theoretic divergences. Their a...

OBJECTIVE Obesity has been shown to increase risk of depression. Persons with obesity experience discrimination because of their body weight. Across 3 studies, we tested for the first time whether experiencing (perceived) weight-based discrimination explains why obesity is prospectively associated with increases in depressive symptoms. METHOD Data from 3 studies, including the English Longitu...

Manifold regularization (MR) provides a powerful framework for semi-supervised classification (SSC) using both the labeled and unlabeled data. It first constructs a single Laplacian graph over the whole dataset for representing the manifold structure, and then enforces the smoothness constraint over such graph by a Laplacian regularizer in learning. However, the smoothness over such a single La...

The purpose of this study was to investigate the visual discrimination abilities of regular class children with varying levels of word recognition skill and of special class children. Word recognition and intelligence scores were obtained on 90 primary-aged children in regular classes and on seven children in a special class. The subjects were required to match twelve standard graphemes with an...

In this paper we address the problem of recognizing scenes by performing unsupervised segmentation followed by matching the resulting adjacency region graph. Our segmentation method is an adaptive extension of the Asymetric Clustering Model, a distributional clustering method based on the EM algorithm, whereas our matching proposal consists of embodying the Graduated Assignement cost function i...

Through brain imaging studies and studies of brain-lesioned patients with face or object recognition deficits, the fusiform face area (FFA) has been identified as a face-specific processing area. Recent work, however, illustrates that the FFA is also responsive to a wide variety of non-face objects if levels of discrimination and expertise are controlled. The mystery is why an expertise area, w...

More than 30 years have passed since Mehler et al. (1988) proposed that newborns can discriminate between languages belong to different rhythm classes: stress-, syllable- or mora-timed. Thereupon they developed the hypothesis infants are sensitive differences in vowel and consonant interval durations as acoustic correlates of classes. It remains unknown exactly which durational computations use...