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Institution

University of Texas at Dallas

EducationRichardson, Texas, United States
About: University of Texas at Dallas is a education organization based out in Richardson, Texas, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 14986 authors who have published 35589 publications receiving 1293714 citations. The organization is also known as: UT-Dallas & UT Dallas.


Papers
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Journal ArticleDOI
TL;DR: Overall, the analysis of consonant confusion matrices suggests that in order for noise reduction algorithms to improve speech intelligibility, they need to improve the place and manner feature scores.
Abstract: The evaluation of intelligibility of noise reduction algorithms is reported. IEEE sentences and consonants were corrupted by four types of noise including babble, car, street and train at two signal-to-noise ratio levels (0 and 5 dB), and then processed by eight speech enhancement methods encompassing four classes of algorithms: spectral subtractive, sub-space, statistical model based and Wiener-type algorithms. The enhanced speech was presented to normal-hearing listeners for identification. With the exception of a single noise condition, no algorithm produced significant improvements in speech intelligibility. Information transmission analysis of the consonant confusion matrices indicated that no algorithm improved significantly the place feature score, significantly, which is critically important for speech recognition. The algorithms which were found in previous studies to perform the best in terms of overall quality, were not the same algorithms that performed the best in terms of speech intelligibility. The subspace algorithm, for instance, was previously found to perform the worst in terms of overall quality, but performed well in the present study in terms of preserving speech intelligibility. Overall, the analysis of consonant confusion matrices suggests that in order for noise reduction algorithms to improve speech intelligibility, they need to improve the place and manner feature scores.

251 citations

Posted Content
TL;DR: In this article, the authors proposed two proxies for the degree to which traders under- and overreact to news, namely, the nearness to the Dow 52-week high and the relative importance of the Dow historical high, respectively.
Abstract: Motivated by psychological evidence on limited investor attention and anchoring, we propose two proxies for the degree to which traders under- and over-react to news, namely, the nearness to the Dow 52-week high and the nearness to the Dow historical high, respectively. We find that nearness to the 52-week high positively predicts future aggregate-market returns, while nearness to the historical high negatively predicts future market returns. We further show that our proxies contain information about future market returns that is not captured by traditional macroeconomic variables and that our results are robust across G7 countries. Comprehensive Monte Carlo simulations and comparisons with the NYSE/AMEX market cap index confirm the significance of these findings.

251 citations

Posted Content
TL;DR: In this paper, the authors investigate how a supply chain involving a risk-neutral supplier and a retailer can be coordinated with a supply contract, and design a risk sharing contract that offers the desired downside protection to the retailer, provides respective reservation profits to the agents, and accomplishes channel coordination.
Abstract: We investigate how a supply chain involving a risk-neutral supplier and a downside-risk-averse retailer can be coordinated with a supply contract We show that the standard buy-back or revenue-sharing contracts may not coordinate such a channel Using a definition of coordination of supply chains proposed earlier by the authors, we design a risk-sharing contract that offers the desired downside protection to the retailer, provides respective reservation profits to the agents, and accomplishes channel coordination

250 citations

Proceedings ArticleDOI
06 Apr 2010
TL;DR: A strategy for automatically fixing faults in a program by combining the processes of mutation and fault localization, which is effective at automatically suggesting fixes for faults without any human intervention is proposed.
Abstract: This paper proposes a strategy for automatically fixing faults in a program by combining the processes of mutation and fault localization. Statements that are ranked in order of their suspiciousness of containing faults can then be mutated in the same order to produce possible fixes for the faulty program. The proposed strategy is evaluated against the seven benchmark programs of the Siemens suite and the Ant program. Results indicate that the strategy is effective at automatically suggesting fixes for faults without any human intervention.

250 citations

Journal ArticleDOI
J. Z. Bai, Y. Ban1, J. G. Bian, XZ(蔡翔舟) Cai  +195 moreInstitutions (19)
TL;DR: In this paper, the authors observed a narrow enhancement near 2m(p) in the invariant mass spectrum of pp pairs from radiative J/psi-->gammapp decays.
Abstract: We observe a narrow enhancement near 2m(p) in the invariant mass spectrum of pp pairs from radiative J/psi-->gammapp decays. No similar structure is seen in J/psi-->pi(0)pp decays. The results are based on an analysis of a 58 x 10(6) event sample of J/psi decays accumulated with the BESII detector at the Beijing electron-positron collider. The enhancement can be fit with either an S- or P-wave Breit-Wigner resonance function. In the case of the S-wave fit, the peak mass is below 2m(p) at M=1859(+3)(-10) (stat)+5-25(syst) MeV/c(2) and the total width is Gamma<30 MeV/c(2) at the 90% confidence level. These mass and width values are not consistent with the properties of any known particle.

250 citations


Authors

Showing all 15148 results

NameH-indexPapersCitations
Eugene Braunwald2301711264576
Younan Xia216943175757
Eric N. Olson206814144586
Thomas C. Südhof191653118007
Scott M. Grundy187841231821
Jing Wang1844046202769
Eric Boerwinkle1831321170971
Eric J. Nestler178748116947
John D. Minna169951106363
Elliott M. Antman161716179462
Adi F. Gazdar157776104116
Bruce D. Walker15577986020
R. Kowalewski1431815135517
Joseph Izen137143398900
James A. Richardson13636375778
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202371
2022217
20212,152
20202,227
20192,192