Social Egalitarianism: How Does Marginalization Affect an Individual’s Support for Welfare Recipients?

This work examines how identification in a historically marginalized group in the United States affects individuals\u27 opinions towards welfare recipients. Using three marginalized groups: African Americans, Hispanic/Latinos, and Women, this study compares how each group views welfare recipients while discussing how people in general view welfare recipients. This study finds that there are some statistical differences between the opinions of welfare recipients between certain groups, but not amongst other groups, indicating the importance of society on American politics in the present day

Side-View Face Recognition

Side-view face recognition is a challenging problem with many applications. Especially in real-life scenarios where the environment is uncontrolled, coping with pose variations up to side-view positions is an important task for face recognition. In this paper we discuss the use of side view face recognition techniques to be used in house safety applications. Our aim is to recognize people as they pass through a door, and estimate their location in the house. Here, we compare available databases appropriate for this task, and review current methods for profile face recognition

Component-based ethnicity identification from facial images.

Master of Science in Computer Science. University of KwaZulu-Natal, Durban, 2017.Abstract available in PDF file

MULTIMODAL FACIAL GENDER DAN IDENTIFIKASI ETNIK

Human faces provide demographic information, such as gender and ethnicity. Different modalities of human faces, e.g., range and intensity, provide different cues for gender and ethnicity identifications. In this paper we exploit the range information of human faces for ethnicity identification using a support vector machine. An integration scheme is also proposed for ethnicity and gender identifications by combining the registered range and intensity images. The experiments are conducted on a database containing 1240 facial scans of 376 subjects. It is demonstrated that the range modality provides competitive discriminative power on ethnicity and gender identifications to the intensity modality. For both gender and ethnicity identifications, the proposed integration scheme outperforms each individual modality

The Intrinsic Dimensionality of Attractiveness: A Study in Face Profiles

The study of human attractiveness with pattern analysis techniques is an emerging research field. One still largely unresolved problem is which are the facial features relevant to attractiveness, how they combine together, and the number of independent parameters required for describing and identifying harmonious faces. In this paper, we present a first study about this problem, applied to face profiles. First, according to several empirical results, we hypothesize the existence of two well separated manifolds of attractive and unattractive face profiles. Then, we analyze with manifold learning techniques their intrinsic dimensionality. Finally, we show that the profile data can be reduced, with various techniques, to the intrinsic dimensions, largely without loosing their ability to discriminate between attractive and unattractive face

Differences in weight status, dietary quality, and dietary behavior across income and ethnic groups : analysis of 1999-2002 National Health and Nutrition Examination Survey

"Research indicates that low income, minorities are at increased risk for poor dietary behaviors leading to weight gain and poor overall health status. A secondary data analysis of the 1999-2002 National Health and Nutrition Examination Survey was conducted to identify associations between food security status, income level, and ethnicity identification and weight status, dietary quality, and dietary behaviors. The sample included US-born Non-Hispanic White (NHW), Non-Hispanic Black (NHB) and Mexican Americans (MA) aged 20-85 years. Bivariate analyses indicated that while low income individuals and NHB were significantly more likely to be obese than NHW and MA, the overall diet quality among the three groups was not significantly different. However, statistically significant differences for specific dietary behaviors were found. NHW reported higher consumption of milk, NHB reported higher consumption of dark green vegetables, and MA reported higher consumption of dried beans and peas. These results suggest that both income and ethnicity should be considered when addressing nutrition interventions."--Abstract from author supplied metadata