University of Texas at Arlington

About: University of Texas at Arlington is a education organization based out in Arlington, Texas, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11758 authors who have published 28598 publications receiving 801626 citations. The organization is also known as: UT Arlington & University of Texas-Arlington.

Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection

Abstract: The number of web images has been explosively growing due to the development of network and storage technology. These images make up a large amount of current multimedia data and are closely related to our daily life. To efficiently browse, retrieve and organize the web images, numerous approaches have been proposed. Since the semantic concepts of the images can be indicated by label information, automatic image annotation becomes one effective technique for image management tasks. Most existing annotation methods use image features that are often noisy and redundant. Hence, feature selection can be exploited for a more precise and compact representation of the images, thus improving the annotation performance. In this paper, we propose a novel feature selection method and apply it to automatic image annotation. There are two appealing properties of our method. First, it can jointly select the most relevant features from all the data points by using a sparsity-based model. Second, it can uncover the shared subspace of original features, which is beneficial for multi-label learning. To solve the objective function of our method, we propose an efficient iterative algorithm. Extensive experiments are performed on large image databases that are collected from the web. The experimental results together with the theoretical analysis have validated the effectiveness of our method for feature selection, thus demonstrating its feasibility of being applied to web image annotation.

Foreign Language Phonology: Field Independence, Attitude, and the Success of Formal Instruction in Spanish Pronunciation

Abstract: The issue of teaching pronunciation has been severely neglected after the first year of most university foreign language (FL) courses. Moreover, research examining factors affecting the acquisition of the second language (L2) phonological system has been, in general, very scarce. In the present study I examine the acquisition of a nonnative phonological system by adult language learners studying Spanish at Indiana University, Bloomington. The objective of the study was to determine the success of supplementing intermediate Spanish courses with formal instruction in pronunciation. The instruction provided a multimodal methodology aimed to account specifically for individual differences and learning style variation. Variables such as field independence (FI), as measured by the Group Embedded Figures Test (Witkin, Oltman, Raskin, & Karp, 1971), and subject attitude or concern for pronunciation accuracy were examined in relation to improvement in pronunciation. The findings revealed that neither FI, nor subject concern for pronunciation accuracy, were significant predictors of improvement in pronunciation. In contrast, the multimodal methodology resulted in significant improvement of target language pronunciation for the subjects in the experimental group. The article ends with a classroom model of pronunciation instruction designed to enable teachers to incorporate this multimodal method into most second language (L2) curricula. There are also observations about pronunciation errors as they relate to contrastive analysis theory and several suggestions for future research.

Study of the rare decays of B s 0 and B 0 mesons into muon pairs using data collected during 2015 and 2016 with the ATLAS detector

Abstract: A study of the decays B0 s ! + and B0 ! + has been performed using 26 : 3 fb of 13TeV LHC proton-proton collision data collected with the ATLAS detector in 2015 and 2016. Since the detector resolut ...

Brainstorming, Brainstorming Rules and Decision Making

Abstract: This study investigated the effect of brainstorming experience on the ability of groups to subsequently select the best ideas for implementation. Participants generated ideas either alone or in interactive groups and with either the regular brainstorming rules or with additional rules designed to further increase the number of ideas generated. All participants subsequently were asked to select their top five ideas in a group evaluation phase. Groups of individuals generating ideas in isolation (nominal groups) generated more ideas and more original ideas and were more likely to select original ideas during the group decision phase than interactive group brainstormers. Additional rules increased idea generation but not idea originality or idea selection.