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Institution

University of Missouri

EducationColumbia, Missouri, United States
About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.


Papers
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Proceedings ArticleDOI
01 Sep 2009
TL;DR: By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, this work proposes a novel human detection approach capable of handling partial occlusion and achieves the best human detection performance on the INRIA dataset.
Abstract: By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we propose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors, i.e., global detector for whole scanning windows and part detectors for local regions, are learned from the training data using linear SVM. For each ambiguous scanning window, we construct an occlusion likelihood map by using the response of each block of the HOG feature to the global detector. The occlusion likelihood map is then segmented by Mean-shift approach. The segmented portion of the window with a majority of negative response is inferred as an occluded region. If partial occlusion is indicated with high likelihood in a certain scanning window, part detectors are applied on the unoccluded regions to achieve the final classification on the current scanning window. With the help of the augmented HOG-LBP feature and the global-part occlusion handling method, we achieve a detection rate of 91.3% with FPPW= 10−6, 94.7% with FPPW= 10−5, and 97.9% with FPPW= 10−4 on the INRIA dataset, which, to our best knowledge, is the best human detection performance on the INRIA dataset. The global-part occlusion handling method is further validated using synthesized occlusion data constructed from the INRIA and Pascal dataset.

1,838 citations

Book ChapterDOI
TL;DR: The first time that American and Russian leaders had exchanged messages that were simultaneously televised was on New Year's Day, 1986 as mentioned in this paper, when U.S. President Ronald Reagan and Russian Premier Mikhail Gorbachev appeared on television in each others countries.
Abstract: On New Year’s Day, 1986, U.S. President Ronald Reagan and U.S.S.R. Premier Mikhail Gorbachev appeared on television in each others countries. It was the first time that American and Russian leaders had exchanged messages that were simultaneously televised. Reagan’s message, broadcast without warning during the popular Soviet evening news, spoke of world peace and called for the development of new defensive weapons. Gorbachev’s message, which appeared while many Americans were watching coverage of the traditional Tournament of Roses parade, also spoke of peace but decried seeking security with new weaponry. How effective were these messages likely to be? What would be the major determinant of effectiveness—the substance of the messages, or the appearance and demeanor of the speakers? If the messages produced attitude changes, would these changes last and would they lead to changes in behavior?

1,817 citations

Journal ArticleDOI
Xiaowu Wang1, Hanzhong Wang, Jun Wang2, Jun Wang3, Jun Wang4, Rifei Sun, Jian Wu, Shengyi Liu, Yinqi Bai2, Jeong-Hwan Mun5, Ian Bancroft6, Feng Cheng, Sanwen Huang, Xixiang Li, Wei Hua, Junyi Wang2, Xiyin Wang7, Xiyin Wang8, Michael Freeling9, J. Chris Pires10, Andrew H. Paterson8, Boulos Chalhoub, Bo Wang2, Alice Hayward11, Alice Hayward12, Andrew G. Sharpe13, Beom-Seok Park5, Bernd Weisshaar14, Binghang Liu2, Bo Li2, Bo Liu, Chaobo Tong, Chi Song2, Chris Duran12, Chris Duran15, Chunfang Peng2, Geng Chunyu2, Chushin Koh13, Chuyu Lin2, David Edwards12, David Edwards15, Desheng Mu2, Di Shen, Eleni Soumpourou6, Fei Li, Fiona Fraser6, Gavin C. Conant10, Gilles Lassalle16, Graham J.W. King4, Guusje Bonnema17, Haibao Tang9, Haiping Wang, Harry Belcram, Heling Zhou2, Hideki Hirakawa, Hiroshi Abe, Hui Guo8, Hui Wang, Huizhe Jin8, Isobel A. P. Parkin18, Jacqueline Batley11, Jacqueline Batley12, Jeong-Sun Kim5, Jérémy Just, Jianwen Li2, Jiaohui Xu2, Jie Deng, Jin A Kim5, Jingping Li8, Jingyin Yu, Jinling Meng19, Jinpeng Wang7, Jiumeng Min2, Julie Poulain20, Katsunori Hatakeyama, Kui Wu2, Li Wang7, Lu Fang, Martin Trick6, Matthew G. Links18, Meixia Zhao, Mina Jin5, Nirala Ramchiary21, Nizar Drou22, Paul J. Berkman15, Paul J. Berkman12, Qingle Cai2, Quanfei Huang2, Ruiqiang Li2, Satoshi Tabata, Shifeng Cheng2, Shu Zhang2, Shujiang Zhang, Shunmou Huang, Shusei Sato, Silong Sun, Soo-Jin Kwon5, Su-Ryun Choi21, Tae-Ho Lee8, Wei Fan2, Xiang Zhao2, Xu Tan8, Xun Xu2, Yan Wang, Yang Qiu, Ye Yin2, Yingrui Li2, Yongchen Du, Yongcui Liao, Yong Pyo Lim21, Yoshihiro Narusaka, Yupeng Wang7, Zhenyi Wang7, Zhenyu Li2, Zhiwen Wang2, Zhiyong Xiong10, Zhonghua Zhang 
TL;DR: The annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage, and used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution.
Abstract: We report the annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage. We modeled 41,174 protein coding genes in the B. rapa genome, which has undergone genome triplication. We used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution. The extent of gene loss (fractionation) among triplicated genome segments varies, with one of the three copies consistently retaining a disproportionately large fraction of the genes expected to have been present in its ancestor. Variation in the number of members of gene families present in the genome may contribute to the remarkable morphological plasticity of Brassica species. The B. rapa genome sequence provides an important resource for studying the evolution of polyploid genomes and underpins the genetic improvement of Brassica oil and vegetable crops.

1,811 citations

Journal ArticleDOI
TL;DR: This paper found that prospective job applicants are more likely to pursue jobs from socially responsible firms than from firms with poor social performance reputations, and that job applicants have higher self-images when working for socially responsive firms over their less responsive counterparts.
Abstract: Several researchers have suggested that a talented, quality workforce will become a more important source of competitive advantage for firms in the future. Drawing on social identity theory and signaling theory, the authors hypothesize that firms can use their corporate social performance (CSP) activities to attract job applicants. Specifically, signaling theory suggests that a firm’s CSP sends signals to prospective job applicants about what it would be like to work for a firm. Social identity theory suggests that job applicants have higher self-images whenworking for socially responsive firms over their less responsive counterparts. The authors conducted an experiment in which they manipulated CSP and found that prospective job applicants are more likely to pursue jobs from socially responsible firms than from firms with poor social performance reputations. The implications of these findings for academicians and practitioners alike are discussed.

1,772 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed that the degree of asymmetric channel relationships is more dysfunctional than those characterized by symmetric interdependence, and they showed that asymmetric relationships are more stable than symmetric relationships.
Abstract: Channels research has consistently argued that asymmetric channel relationships are more dysfunctional than those characterized by symmetric interdependence. The authors propose that the degree of ...

1,764 citations


Authors

Showing all 41750 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Meir J. Stampfer2771414283776
Russel J. Reiter1691646121010
Chad A. Mirkin1641078134254
Robert Stone1601756167901
Howard I. Scher151944101737
Rajesh Kumar1494439140830
Joseph T. Hupp14173182647
Lihong V. Wang136111872482
Stephen R. Carpenter131464109624
Jan A. Staessen130113790057
Robert S. Brown130124365822
Mauro Giavalisco12841269967
Kenneth J. Pienta12767164531
Matthew W. Gillman12652955835
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023120
2022532
20213,698
20203,683
20193,339
20183,182