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POS0412 DIGITAL ARTERY VOLUME INDEX (DAVIX), FIRST QUANTITATIVE CONTRAST FREE MRI BASED SURROGATE OUTCOME MEASURE OF DIGITAL ULCER DISEASE ACTIVITY IN SYSTEMIC SCLEROSIS

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Annals of the Rheumatic Diseases 2024年 83卷 340-340页

作者： S. DI Donato M. Hughes K. Gjeloshi G. Lettieri F. Danzo G. Abignano D. Bertham E. De Lorenzis J. Dehmeshki O. Kubassova P. O ’connor F. Del Galdo University of Leeds Leeds Institute of Rheumatic and Musculoskeletal Medicine Leeds United Kingdom Leeds Teaching Hospitals NHS Trust NIHR Leeds Biomedical Research Centre Leeds United Kingdom The University of Manchester Division of Musculoskeletal and Dermatological Sciences Manchester Academic Health Science Centre Manchester United Kingdom Northern Care Alliance NHS Foundation Trust Salford Care Organisation Rheumatology Salford United Kingdom University of Campania “Luigi Vanvitelli” Department of Advanced Medical and Surgical Sciences Naples Italy Azienda Ospedaliera Regionale San Carlo Istituto Reumatologico Lucano Potenza Italy Ospedale L Sacco ASST Fatebenefratelli-Sacco Division of Respiratory Diseases Milan Italy University of Milan Department of Biomedical and Clinical Sciences Milan Italy University of Leeds Leeds Leeds Institute of Rheumatic and Musculoskeletal Medicine Leeds United Kingdom Catholic University of the Sacred Heart Fondazione Policlinico Universitario Agostino Gemelli IRCCS Division of Rheumatology Rome Italy Kingston University Faculty of Engineering Computing and the Environment Department of Computer Science and Mathematics London United Kingdom Image Analysis Group London United Kingdom

Background: Vascular involvement in Systemic Sclerosis (SSc) is known to start even before clinical diagnosis, to drive Digital Ulcer (DU) disease and, later in the disease natural history, to cause Pulmonary Artery Hypertension (PAH), among other manifestations. Reliable outcome measures of vascular disease activity are a deep unmet need in SSc. Objectives: To assess the ability of a contrast-free Magnetic Resonance Imaging index to predict DU disease in patients with SSc and explore its validity as outcome measure for Scleroderma vascular complications. methods: 227 patients attending our Scleroderma Program were consecutively enrolled. Clinical features including presence or history of DUs, presence of PAH, FVC, DLCO, and mRSS were recorded. Digital Artery Vascular Index (DAVIX) of the dominant hand’s fingers was calculated using time of flight magnetic resonance images analysed through IAG proprietary algorithm, as previously described. Patients were followed up longitudinally for 12 months and assessed for the presence of new DUs as primary outcome. Medians were compared by Mann-Whitney-Wilcoxon test, correlation with clinical parameters was performed using Spearman’s or Pearson test, as appropriate (R). Results: 145/227 patients (63.9%) fulfilled the 2013 ACR/EULAR classification criteria for SSc (47/227 diffuse cutaneous [20.7%] and 99/227 limited cutaneous [43.6%]) whereas 82/227 (36.1%) were classified as Very Early Diagnosis of Systemic Sclerosis (Criteria score between 6 and 8). 53/227 (23.3%) patients had DU disease (History of DUs in the previous 48 weeks or presence of DUs at baseline assessment), this group showed a significantly lower DAVIX compared to patients without DU disease (0.47 vs 0.84, p<0.0001). 28/227 (12.3%) patients developed new DUs during the 12-month follow up, this group had a significantly lower DAVIX compared to patients who did not develop new DUs (0.39% vs 0.80%, p<0.0001). Receiver Operating Curve for DAVIX plotted against new D

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A Proposal for the Global and Collaborative PBL Learning Environment Where All Global Members on Different Campuses Are 'On the Same Page' throughout the Process of Learning in the Project

A Proposal for the Global and Collaborative PBL Learning Env...

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2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018

作者： Yamamoto, Tosh Liao, Anthony Wu, Wen-Chi Vivian Shih, Meilun Shih, Ju-Ling Chu, Hui-Chun Center for Teaching and Learning Kansai University Osaka Japan Dept. of M-Commerce and Multimedia Applications Asia University Taichung Taiwan Department of Foreign Languages and Literature Asia University Taichung Taiwan Center for Teaching Learning and Development National Taiwan University Taipei Taiwan Department of Digital Science and Technology National University of Tainan Tainan Taiwan Department of Computer Science and Information Management Soochow University Taipei Taiwan

ISBN: (纸本)9781728112299

This paper purports to share with the higher education community the global PBL active learning curriculum and the learning environment, which have been collaboratively developed with the universities in Taiwan and Kansai University (KU). The collaborated universities developed an optimal curriculum to enhance and nurture students' 'Future Work Skills 2020' defined by the Institute for the Future, such future human skills as Sense Making, Social Intelligence, Novel & Adaptive Thinking, Cross-Cultural Competencies, Computational Thinking, New Media Literacy, Transdisciplinarity, Design Mindset, Cognitive Load Management, and Virtual Collaboration. The curriculum fully employs PBL strategies in global teams, where teams for PBL are organized with students with heterogeneous cultural backgrounds in the virtual learning environment. The basic concept of such curriculum is based on COIL (Collaborative Online International Learning), originally developed by State University of New York. COIL makes full usage of IT to generate virtual learning environment for students worldwide. In order to go beyond the COIL concept incorporating the future skills defined by IFTF, the allied universities employed PBL in global AGILE teams to deepen insights from various cultural viewpoints in terms of consensus building through team discussions. Due to the spatial and temporal differences, enrolled students conducted their team learning activities in the virtual learning environment asynchronously, making use of IT technologies and cloud services in order to be on 'the same page' in the progress of the project throughout the course. Further, the assessment strategies to enhance students' efficacy is the key factor in the course, which is also discussed with examples. This paper reports the global PBL active learning curriculum and environment collaboratively developed with the universities in Taiwan and Kansai University. © 2018 IEEE.

关键词： Curricula

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DPA-2: a large atomic model as a multi-task learner

arXiv

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arXiv 2023年

作者： Zhang, Duo Liu, Xinzijian Zhang, Xiangyu Zhang, Chengqian Cai, Chun Bi, Hangrui Du, Yiming Qin, Xuejian Peng, Anyang Huang, Jiameng Li, Bowen Shan, Yifan Zeng, Jinzhe Zhang, Yuzhi Liu, Siyuan Li, Yifan Chang, Junhan Wang, Xinyan Zhou, Shuo Liu, Jianchuan Luo, Xiaoshan Wang, Zhenyu Jiang, Wanrun Wu, Jing Yang, Yudi Yang, Jiyuan Yang, Manyi Gong, Fu-Qiang Zhang, Linshuang Shi, Mengchao Dai, Fu-Zhi York, Darrin M. Liu, Shi Zhu, Tong Zhong, Zhicheng Lv, Jian Cheng, Jun Jia, Weile Chen, Mohan Ke, Guolin Weinan, E. Zhang, Linfeng Wang, Han AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of Sciences Ningbo315201 China School of Electronics Engineering and Computer Science Peking University Beijing100871 China Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development School of Chemistry and Molecular Engineering East China Normal University Shanghai200062 China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States Department of Chemistry Princeton University PrincetonNJ08540 United States College of Chemistry and Molecular Engineering Peking University Beijing100871 China Yuanpei College Peking University Beijing100871 China School of Electrical Engineering and Electronic Information Xihua University Chengdu610039 China State Key Laboratory of Superhard Materials College of Physics Jilin University Changchun130012 China Key Laboratory of Material Simulation Methods & Software of Ministry of Education College of Physics Jilin University Changchun130012 China International Center of Future Science Jilin University Changchun130012 China Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University Zhejiang Hangzhou310030 China Atomistic Simulations Italia

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulations with the accuracy of ab initio electronic structure methods. However, the model generation process remains a bottleneck for large-scale applications. We propose a shift towards a model-centric ecosystem, wherein a large atomic model (LAM), pre-trained across multiple disciplines, can be efficiently fine-tuned and distilled for various downstream tasks, thereby establishing a new framework for molecular modeling. In this study, we introduce the DPA-2 architecture as a prototype for LAMs. Pre-trained on a diverse array of chemical and materials systems using a multi-task approach, DPA-2 demonstrates superior generalization capabilities across multiple downstream tasks compared to the traditional single-task pre-training and fine-tuning methodologies. Our approach sets the stage for the development and broad application of LAMs in molecular and materials simulation research. Copyright © 2023, The Authors. All rights reserved.

关键词： Multi-task learning

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Testing CPT symmetry in ortho-positronium decays with positronium annihilation tomography

arXiv

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arXiv 2021年

作者： Moskal, Pawel Gajos, Aleksander Mohammed, Muhsin Chhokar, Jyoti Chug, Neha Curceanu, Catalina Czerwiński, Eryk Dadgar, Meysam Dulski, Kamil Gorgol, Marek Goworek, Jacek Hiesmayr, Beatrix Jasińska, Bożena Kacprzak, Krzysztof Kaplon, Lukasz Karimi, Hanieh Kisielewska, Daria Klimaszewski, Konrad Korcyl, Grzegorz Kowalski, Pawel Krawczyk, Nikodem Krzemień, Wojciech Kozik, Tomasz Kubicz, Ewelina Niedźwiecki, Szymon Parzych, Szymon Pawlik-Niedźwiecka, Monika Raczyński, Lech Raj, Juhi Sharma, Sushil Choudhary, Shivani Shopa, Roman Sienkiewicz, Andrzej Silarski, Michal Skurzok, Magdalena Stępień, Ewa Tayefi, Faranak Wiślicki, Wojciech Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University S. Lojasiewicza 11 Kraków30-348 Poland Total-Body Jagiellonian-PET Laboratory Jagiellonian University Poland INFN Laboratori Nazionali di Frascati CP 13 Via E. Fermi 40 Frascati00044 Italy Department of Nuclear Methods Institute of Physics Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 1 Lublin20-031 Poland Faculty of Chemistry Institute of Chemical Sciences Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 3 Lublin20-031 Poland Faculty of Physics University of Vienna Boltzmanngasse 5 Vienna1090 Austria Department of Complex Systems National Centre for Nuclear Research Otwock-Świerk05-400 Poland High Energy Department National Centre for Nuclear Research Otwock-Świerk05-400 Poland

关键词： Positrons

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Fluctuating temperature modifies heat-mortality association around the globe

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The Innovation 2022年第2期3卷 65-72页

作者： Yao Wu Bo Wen Shanshan Li Antonio Gasparrini Shilu Tong Ala Overcenco Ales Urban Alexandra Schneider Alireza Entezari Ana Maria Vicedo-Cabrera Antonella Zanobetti Antonis Analitis Ariana Zeka Aurelio Tobias Barrak Alahmad Ben Armstrong Bertil Forsberg CarmenÍñiguez Caroline Ameling César De la Cruz Valencia ChristoferÅström Danny Houthuijs Do Van Dung Dominic Royé Ene Indermitte Eric Lavigne Fatemeh Mayvaneh Fiorella Acquaotta Francesca de’Donato Francesco Sera Gabriel Carrasco-Escobar Haidong Kan Hans Orru Ho Kim Iulian-Horia Holobaca Jan Kyselý Joana Madureira Joel Schwartz Klea Katsouyanni Magali Hurtado-Diaz Martina SRagettli Masahiro Hashizume Mathilde Pascal Micheline de Sousa Zanotti Stagliorio Coélho Noah Scovronick Paola Michelozzi Patrick Goodman Paulo Hilario Nascimento Saldiva Rosana Abrutzky Samuel Osorio Tran Ngoc Dang Valentina Colistro Veronika Huber Whanhee Lee Xerxes Seposo Yasushi Honda Michelle L.Bell Yuming Guo Department of Epidemiology and Preventive Medicine School of Public Health and Preventive MedicineMonash UniversityMelbourne 3004Australia Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourne 3004Australia Department of Public Health Environments and SocietyLondon School of Hygiene&Tropical MedicineLondon WC1E 7HTUK Centre for Statistical Methodology London School of Hygiene&Tropical MedicineLondon WC1E 7HTUK Centre on Climate Change&Planetary Health London School of Hygiene&Tropical MedicineLondon WC1E 7HTUK Shanghai Children’s Medical Centre Shanghai Jiao Tong UniversityShanghai 200025China School of Public Health Institute of Environment and Human HealthAnhui Medical UniversityHefei 230032China Center for Global Health Nanjing Medical UniversityNanjing 211166China School of Public Health and Social Work Queensland University of TechnologyBrisbane 4000Australia National Agency for Public Health of the Ministry of Health Labour and Social Protection of the Republic of MoldovaChisinau MD-2009Republic of Moldova Institute of Atmospheric Physics Czech Academy of SciencesPrague 14100Czech Republic Faculty of Environmental Sciences Czech University of Life SciencesPrague 16500Czech Republic Institute of Epidemiology Helmholtz Zentrum M€unchen-German Research Center for Environmental HealthNeuherberg 85747Germany Faculty of Geography and Environmental Sciences Hakim Sabzevari UniversitySabzevar ***Iran Institute of Social and Preventive Medicine University of BernBern 3012Switzerland Oeschger Center for Climate Change Research University of BernBern 3012Switzerland Department of Environmental Health Harvard T.H.Chan School of Public HealthHarvard UniversityBostonMA 02115USA Department of Hygiene Epidemiology and Medical StatisticsNational and Kapodistrian University of AthensAthens 11527Greece Institute for Environment Healthand SocietiesBrunel University LondonLondon UB83PNUK Institute of Environmental Assessment and

Studies have investigated the effects of heat and temperature variability(TV)on ***,few assessed whether TV modifies the heat-mortality *** on daily temperature and mortality in the warm season were collected from 717 locations across 36 *** was calculated as the standard deviation of the average of the same and previous days’minimum and maximum temperatures.

关键词： deviation modif heat

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Testing CPT symmetry in ortho-positronium decays with positronium annihilation tomography

Research Square

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Research Square 2021年

作者： Moskal, Pawel Gajos, Aleksander Mohammed, Muhsin Chhokar, Jyoti Chug, Neha Curceanu, Catalina Czerwiński, Eryk Dadgar, Meysam Dulski, Kamil Gorgol, Marek Goworek, Jacek Hiesmayr, Beatrix C. Jasińska, Bożena Kaplon, Lukasz Karimi, Hanieh Kisielewska, Daria Klimaszewski, Konrad Korcyl, Grzegorz Kowalski, Pawel Krawczyk, Nikodem Krzemień, Wojciech Kozik, Tomasz Kubicz, Ewelina Niedźwiecki, Szymon Parzych, Szymon Pawlik-Niedźwiecka, Monika Raczyński, Lech Raj, Juhi Sharma, Sushil Choudhary, Shivani Shopa, Roman Y. Sienkiewicz, Andrzej Silarski, Michal Skurzok, Magdalena Stepien, Ewa L. Tayefi, Faranak Wiślicki, Wojciech Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University S. Lojasiewicza 11 Kraków30-348 Poland Total-Body Jagiellonian-PET Laboratory Jagiellonian University Poland INFN Laboratori Nazionali di Frascati CP 13 Via E. Fermi 40 Frascati00044 Italy Department of Nuclear Methods Institute of Physics Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 1 Lublin20-031 Poland Faculty of Chemistry Institute of Chemical Sciences Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 3 Lublin20-031 Poland Faculty of Physics University of Vienna Boltzmanngasse 5 Vienna1090 Austria Department of Complex Systems National Centre for Nuclear Research Otwock-Świerk 05-400 Poland High Energy Department National Centre for Nuclear Research Otwock-Świerk 05-400 Poland

Charged lepton system symmetry under combined charge, parity, and time-reversal transformation (CPT) remains scarcely tested. Despite stringent quantum-electrodynamic limits, discrepancies in predictions for the electron–positron bound state (positronium atom) motivate further investigation, including fundamental symmetry tests. While CPT noninvariance effects could be manifested in non-vanishing angular correlations between final-state photons and spin of annihilating positronium, measurements were previously limited by knowledge of the latter. Here, we demonstrate tomographic reconstruction techniques applied to three-photon annihilations of ortho-positronium atoms to estimate their spin polarisation without magnetic field or polarised positronium source. We use a plastic-scintillator-based positron-emission-tomography scanner as a high-acceptance photon detector to study CPT-prohibited angular correlation in ortho-positronium (o-Ps) annihilations. We record an unprecedented range of kinematical configurations of o-Ps annihilations into three photons. Tomographic reconstruction of the annihilation points in a large medium allows single-event estimation of positronium spin orientation and, consequently, determination of the complete spectrum of angular correlation between the annihilation plane orientation and positronium spin, the non-vanishing expectation value of which would manifest CPT-violating effects. We find no violation at the precision level of 10−4, with a fourfold improvement on the previous measurement. This work enables application of positronium-imaging techniques to study discrete symmetries in positronium decays. © 2021, CC BY.

关键词： Positrons

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A Petri Net Based Model for a Cloud Healthcare System

A Petri Net Based Model for a Cloud Healthcare System

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第30届中国控制与决策会议

作者： Yafei Li Yingying Li Na Wang Hongfeng Wang College of Information Science and Engineering Northeastern University Fundamental Teaching Department of Computer and Mathmatics Shenyang Normal University

More and more researchers have begun to focus on the applications of Internet techniques in the healthcare system in order to solve unbalanced allocation of medical resources in China. This paper studies and investigates the modeling method for a cloud healthcare system, which is a new Internet healthcare system arising in very recent year. In this cloud healthcare system, the high-quality medical resources can be shared among big tertiary hospital and small community hospitals through the telemedicine platform. Based on the general framework of an actual cloud hospital, a Petri net model is presented to describe the state of patients and the relationship between medical process and resources in this cloud healthcare system and verified through analyzing its simulation process by using CPN Tools.

关键词： cloud healthcare system Petri net Simulation Model CPN Tools

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Models and run-time systems for data intensive workflow applications 18

Models and run-time systems for data intensive workflow appl...

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18th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2017

作者： Ouali, Nahla Haddar Tmar, Mohamed Department of Economic Sciences Quantitative Methods and Computer Science Higher Institute of Business Administration University of Gafsa Tunisia Department of Computer Science Higher Institute of Computer and Multimedia University of Sfax Tunisia

ISBN: (纸本)9781538631515

The paper studies the principal emerged data-centric business process models and workflow systems. Especially, the paper presents a comparative study based on substantial criteria that must be meet in a data-centric process model and its run-time system. This study allows to identify several recommended enhancement in further researches. © 2017 IEEE.

关键词： Task analysis Data models Biological system modeling GSM Unified modeling language Adaptation models Biological system modeling UML task analysis data models Global mobile communication-systems wireless phone Adaptation models procedural model Workflow Runtime

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HFLTS-TOPSIS with Pseudo-distance in Determining the Best Lecturers 1

HFLTS-TOPSIS with Pseudo-distance in Determining the Best Le...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Abdullah, Dahlan Hartono, H. Saddhono, Kundharu Kurniasih, Nuning Iskandar, Akbar Rianita, Dian Purwarno Setyawasih, Rianti Satria, Erwinsyah Nuryanto, Tato Herawati, Lilik Sujinah Sudarsana, I Ketut Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Public Administrations Universitas Lancang Kuning Indonesia Faculty of Literature Universitas Islam Sumatera Utara Medan Indonesia Indonesia Department of Management Faculty of Economic Universitas Islam 45 Bekasi Indonesia Faculty of Teacher Training and Education Universitas Bung Hatta Padang Indonesia FITK IAIN Syekh Nurjati Cirebon Indonesia Department of Indonesian Language Teaching Institut Agama Islam Negeri Syekh Nurjati Cirebon Cirebon Indonesia Faculty of Education University Muhammadiyah of Surabaya Surabaya Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

Decision making is sometimes faced with a situation where assessment is given in the form of linguistic variables, which have a certain range of values so that decision making cannot be given in the form of numerical values. One approach commonly used is Hesitant Fuzzy Linguistic Term Sets (HFLTS) which is a multi-criteria and multi-alternative decision making method. In TOPSIS which has the concept of distance measurement, basically the chosen one is the best alternative is an alternative that has the closest distance to a positive solution and the farthest distance with a negative solution. The incorporation of HFLTS-TOPSIS has the advantage that decision making can be done in the form of variable linguistics and also a situation where there are benefit criteria and cost criteria. This study will use the HFLTS-TOPSIS approach that has been modified in the distance calculation section so that distance calculation is based on the difference of preference degree between the two HFLTS. The results of research conducted by a number of researchers show that using pseudo-distance will provide advantages compared to the standard HLFTS-TOPSIS. Pseudo-distance HFLTS-TOPSIS will be applied in the selection of the best lecturers. The criteria used in this study are: Student Satisfaction, Research, Number of late, and number of complaints from students. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions

arXiv

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arXiv 2019年

作者： Niu, Yulei Zhang, Hanwang Lu, Zhiwu Chang, Shih-Fu Beijing Key Laboratory of Big Data Management and Analysis Methods School of Information Renmin University of China Beijing100872 China School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore Department of Electrical Engineering Columbia University New YorkNY10027 United States

—We focus on grounding (i.e., localizing or linking) referring expressions in images, e.g., "largest elephant standing behind baby elephant". This is a general yet challenging vision-language task since it does not only require the localization of objects, but also the multimodal comprehension of context — visual attributes (e.g., "largest", "baby") and relationships (e.g., "behind") that help to distinguish the referent from other objects, especially those of the same category. Due to the exponential complexity involved in modeling the context associated with multiple image regions, existing work oversimplifies this task to pairwise region modeling by multiple instance learning. In this paper, we propose a variational Bayesian method, called Variational Context, to solve the problem of complex context modeling in referring expression grounding. Specifically, our framework exploits the reciprocal relation between the referent and context, i.e., either of them influences estimation of the posterior distribution of the other, and thereby the search space of context can be greatly reduced. In addition to reciprocity, our framework considers the semantic information of context, i.e., the referring expression can be reproduced based on the estimated context. We also extend the model to unsupervised setting where no annotation for the referent is available. Extensive experiments on various benchmarks show consistent improvement over state-of-the-art methods in both supervised and unsupervised settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Bayesian networks

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