Regional prejudice is prevalent in Chinese cities in which native residents and migrants lack a basic level of trust in the other group. Like Twitter, Sina Weibo is a social media platform where people actively engage in discussions on various social issues. Thus, it provides a good data source for measuring individuals’ regional prejudice on a large scale. We find that a resentful tone dominat...

In social play, young children can exhibit different types of participation. Some children are engaged with other children in the play activity while others are just looking. In this study, we investigated methods to automatically predict the children’s levels of participation in play settings using nonverbal vocal features (which have been shown to correlate with related phenomena such as enga...

In this paper, an heuristic approach based on Support Vector Regression Machines (SVRMs) is presented in order to solve a simple inverse scattering problem. Interesting results have been obtained, with a remarkable reduction of computational time. Future development of this works will interest the evaluation of the performances of SVRMs for detection of buried objects in stratified media. This ...

Support vector machine (SVM) has been one of the most popular learning algorithms, with the central idea of maximizing the minimum margin, i.e., the smallest distance from the instances to the classification boundary. Recent theoretical results, however, disclosed that maximizing the minimum margin does not necessarily lead to better generalization performances, and instead, the margin distribu...

Activity recognition in smart homes provides valuable benefits in the field of health and elderly care by remote monitoring of patients. In health care, capabilities of both performing the correct recognition and reducing the wrong assignments are of high importance. The novelty of the proposed activity recognition approach lies in being able to assign a category to the incoming activity, while...

We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction of the moving human body and its contour from image sequences; ii) extraction of human gait signature by the joint angles and body points; and iii) motion analysis and feature extraction for classifying gender in the...

Supplier evaluation is an important process in supply chain. To our best knowledge, we firstly report a study on supplier classification problem for efficiency and performance in the meanwhile, which is to aim at reducing the risk of enterprises and finding the suppliers with both high efficiency and performance. This paper proposed an integrated model, which hybridized data envelopment analysi...

In this paper we take a look at what the new Intel instruction extensions Intel Advance Vector Extensions (AVX) brings to high performance computing. We compare two configurations of Intel CPU based systems (one enabled with AVX and a second without AVX enabled) and present a performance evolution of these two platforms. We compare the same generation of CPU utilizing a single socket platform a...

We have analyzed the vulnerability and threat of the biometric evaluation database and proposed the method to generate a synthetic database from a real database. Our method is characterized by finding nearest neighbor triples or pairs in the feature space of biometric samples, and by crossing over those triples and pairs to generate synthetic samples. The advantages of our method is that we can...

Prostate Magnetic Resonance Imaging (MRI) is one of the most promising approaches to facilitate prostate cancer diagnosis. The effort of research community is focused on classification techniques of MR images in order to predict the cancer position and its aggressiveness. The reduction of False Negatives (FNs) is a key aspect to reduce mispredictions and to increase sensitivity. In order to dea...