检索结果-内蒙古大学图书馆

Worldwide Soundscapes: A Synthesis of Passive Acoustic Monitoring Across Realms

Global Ecology and Biogeography 2025年第5期34卷

作者： Kevin F. A. Darras Rodney A. Rountree Steven L. Van Wilgenburg Anna F. Cord Frederik Pitz Youfang Chen Lijun Dong Agnès Rocquencourt Camille Desjonquères Patrick Mauritz Diaz Tzu-Hao Lin Théophile Turco Louise Emmerson Tom Bradfer-Lawrence Amandine Gasc Sarah Marley Marcus Salton Laura Schillé Paul J. Wensveen Shih-Hung Wu Adriana C. Acero-Murcia Orlando Acevedo-Charry Matyáš Adam Jacopo Aguzzi Irmak Akoglu M. Clara P. Amorim Mina Anders Michel André Alexandre Antonelli Leandro Aparecido Do Nascimento Giulliana Appel Stephanie Archer Christos Astaras Andrey Atemasov Jamieson Atkinson Joël Attia Emanuel Baltag Luc Barbaro Fritjof Basan Carly Batist Julio Ernesto Baumgarten Just T. Bayle Sempere Kristen Bellisario Asaf Ben David Oded Berger-Tal Frédéric Bertucci Matthew G. Betts Iqbal S. Bhalla Thiago Bicudo Marta Bolgan Sara Bombaci Gerard Bota Martin Boullhesen Robert A. Briers Susannah Buchan Michal Budka Katie Burchard Giuseppa Buscaino Alice Calvente Marconi Campos-Cerqueira Maria Isabel Carvalho Gonçalves Maria Ceraulo Maite Cerezo-Araujo Gunnar Cerwén Adams A. Chaskda Maria Chistopolova Christopher W. Clark Kieran D. Cox Benjamin Cretois Chapin Czarnecki Luis P. da Silva Wigna da Silva Laurence H. De Clippele David de la Haye Ana Silvia de Oliveira Tissiani Devin de Zwaan M. Eugenia Degano Jessica Deichmann Joaquin del Rio Christian Devenish Ricardo Díaz-Delgado Pedro Diniz Dorgival Diógenes Oliveira-Júnior Thiago Dorigo Saskia Dröge Marina Duarte Adam Duarte Kerry Dunleavy Robert Dziak Simon Elise Hiroto Enari Haruka S. Enari Florence Erbs Britas Klemens Eriksson Pınar Ertör-Akyazi Nina C. Ferrari Luane Ferreira Abram B. Fleishman Paulo J. Fonseca Bárbara Freitas Nicholas R. Friedman Jérémy S. P. Froidevaux Svetlana Gogoleva Carolina Gonzaga José Miguel González Correa Eben Goodale Benjamin Gottesman Ingo Grass Jack Greenhalgh Jocelyn Gregoire Samuel Haché Jonas Hagge William Halliday Antonia Hammer Tara Hanf-Dressler Sylvain Haupert Samara Haver Becky Heath Daniel Hending Jose Hernandez-Blanco Dennis Higgs EFNO ECODIV INRAE Domaine des Barres Nogent-sur-Vernisson France Sustainable Agricultural Systems & Engineering Lab School of Engineering Westlake University Hangzhou Zhejiang China Chair of Computational Landscape Ecology Faculty of Environmental Sciences Dresden University of Technology Dresden Germany Biology Department University of Victoria Victoria British Columbia Canada The Fish Listener Waguoit Massachusetts USA Terrestrial Unit Prairie Region Canadian Wildlife Service Environment & Climate Change Canada Prairie & Northern Wildlife Research Centre Saskatoon Saskatchewan Canada Agro-ecological Modeling Group Faculty of Agriculture University of Bonn Bonn Germany Marine Mammal and Marine Bioacoustics Laboratory Department of Deep Sea Science Institute of Deep-sea Science and Engineering Chinese Academy of Sciences Sanya Hainan China Institut de Systématique Évolution Biodiversité Muséum National d’Histoire Naturelle Paris France Université Grenoble Alpes Université Savoie Mont Blanc CNRS LECA Grenoble France Climate Change and Biodiversity Hanns R. Neumann Stiftung Indonesia Muaradua Indonesia Biodiversity Research Center Academia Sinica Nankang Taipei Taiwan ENES Bioacoustics Research Laboratory University of Saint-Etienne CRNL CNRS UMR 5292 Inserm UMR_S 1028 Saint-Etienne France Australian Antarctic Division Science Branch Department of Climate Change Energy Environment and Water Channel Highway Kingston Tasmania Australia Biological and Environmental Sciences University of Stirling Stirling Scotland Centre for Conservation Science RSPB Edinburgh UK IMBE Aix Marseille Univ Avignon Univ CNRS IRD Aix-en-Provence France Scotland's Rural College Craibstone Estate Aberdeen UK BIOGECO INRAE University of Bordeaux Cestas France Westman Islands Research Centre University of Iceland Vestmannaeyjar Iceland Qigu Research Center Taiwan Biodiversity Research Institute Nantou County Taiwan Programa de Pós-graduação em Ecologia

Aim The urgency for remote, reliable and scalable biodiversity monitoring amidst mounting human pressures on ecosystems has sparked worldwide interest in Passive Acoustic Monitoring (PAM), which can track life underwater and on land. However, we lack a unified methodology to report this sampling effort and a comprehensive overview of PAM coverage to gauge its potential as a global research and monitoring tool. To address this gap, we created the Worldwide Soundscapes project, a collaborative network and growing database comprising metadata from 416 datasets across all realms (terrestrial, marine, freshwater and subterranean). Location Worldwide, 12,343 sites, all ecosystem types. Time Period 1991 to present. Major Taxa Studied All soniferous taxa. Methods We synthesise sampling coverage across spatial, temporal and ecological scales using metadata describing sampling locations, deployment schedules, focal taxa and audio recording parameters. We explore global trends in biological, anthropogenic and geophysical sounds based on 168 selected recordings from 12 ecosystems across all realms. Results Terrestrial sampling is spatially denser (46 sites per million square kilometre—Mkm 2 ) than aquatic sampling (0.3 and 1.8 sites/Mkm 2 in oceans and fresh water) with only two subterranean datasets. Although diel and lunar cycles are well sampled across realms, only marine datasets (55%) comprehensively sample all seasons. Across the 12 ecosystems selected for exploring global acoustic trends, biological sounds showed contrasting diel patterns across ecosystems, declined with distance from the Equator, and were negatively correlated with anthropogenic sounds. Main Conclusions PAM can inform macroecological studies as well as global conservation and phenology syntheses, but representation can be improved by expanding terrestrial taxonomic scope, sampling coverage in the high seas and subterranean ecosystems, and spatio-temporal replication in freshwater habitats. Overall, this

关键词： ARU automated sound recorder biodiversity conservation biology ecoacoustics IUCN GET realm Passive Acoustic Monitoring phenology soundscape ecology

来源：评论

学校读者我要写书评

暂无评论

Path ω-automaton

引用

Journal of Information Hiding and Multimedia Signal Processing 2017年第3期8卷 640-648页

作者： Jiang, Hua Zou, Fumin Lin, Rongde Li, Lingxiang Key Lab of Granular Computing Minnan Normal University ZhangzhouFujian China Beidou Navigation and Smart Traffic Innovation Center of Fujian Province FuzhouFujian China School of Mathematical Science Huaqiao university QuanzhouFujian China Fujian Provincial Key Laboratory of Big Data Mining and Applications FuzhouFujian China School of Electronics and Information Engineering Hunan University of Science and Engineering YongzhouHunan China

Automata theory is an important branch of theoretical computer science. ω-automaton is an important part of automata theory. The judgment standard for the equivalence of two automata is the equivalence of their acceptance language. Acceptance conditions for automata are expressed with state set. This paper tries to use path to express acceptance conditions for ω-automaton that is convenient for judging the automatons equivalence property and transforming between different types of automata. With the help of Path ω-automaton, Muller automaton is transformed into Büchi automaton. Compared with the existing algorithm, the state scale of Büchi automaton has been reduced and the problem of state space explosion has been relieved. The research findings in this paper contribute to enrich the existing ω-automaton theory and provide a new idea for ω-automaton theory and application research. © 2017.

关键词： Automata theory

来源：评论

学校读者我要写书评

暂无评论

data integration and visualisation for demanding marine operations

Data integration and visualisation for demanding marine oper...

引用

OCEANS 2016 - Shanghai

作者： Wang, Hao Zhuge, Xu Strazdins, Girts Wei, Zheng Li, Guoyuan Zhang, Houxiang Big Data Lab Faculty of Engineering and Natural Sciences Norwegian Unversity of Science and Technology in Aalesund Postboks 1517 Aalesund6025 Norway Mechatronics Lab Faculty of Maritime Technology and Operations Norwegian Unversity of Science and Technology in Aalesund Norway

ISBN: (纸本)9781467397247

Marine operations face the major challenge of increased complexity. Much more data are being collected for diagnostic and monitoring purposes with sensors on board a vessel. However, due to the lack of easy data presentation and interaction, the crew members are overwhelmed by the large volume of information and alert messages, causing serious information overload problems. In this paper, we explore data integration and visualisation techniques for maritime operations and present a proof-of-concept prototype using real offline data from our industrial collaborators. This work is an important part of our initial efforts towards a visual analytics framework for maritime operations. © 2016 IEEE.

关键词： data integration

来源：评论

学校读者我要写书评

暂无评论

Do your social profiles reveal what languages you speak? Language inference from social media profiles 38th

Do your social profiles reveal what languages you speak? Lan...

引用

38th European Conference on Information Retrieval Research, ECIR 2016

作者： Xu, Yu Ghorab, M. Rami Wang, Zhongqing Zhou, Dong Lawless, Séamus ADAPT Centre Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland Natural Language Processing Lab Soochow University Suzhou China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9783319306704

In the multilingual World Wide Web, it is critical for Web applications, such as multilingual search engines and targeted international advertisements, to know what languages the user understands. However, online users are often unwilling to make the effort to explicitly provide this information. Additionally, language identification techniques struggle when a user does not use all the languages they know to directly interact with the applications. This work proposes a method of inferring the language(s) online users comprehend by analyzing their social profiles. It is mainly based on the intuition that a user’s experiences could imply what languages they know. This is nontrivial, however, as social profiles are usually incomplete, and the languages that are regionally related or similar in vocabulary may share common features;this makes the signals that help to infer language scarce and noisy. This work proposes a language and social relation-based factor graph model to address this problem. To overcome these challenges, it explores external resources to bring in more evidential signals, and exploits the dependency relations between languages as well as social relations between profiles in modeling the problem. Experiments in this work are conducted on a large-scale dataset. The results demonstrate the success of our proposed approach in language inference and show that the proposed framework outperforms several alternative methods. © Springer International Publishing Switzerland 2016.

关键词： Search engines

来源：评论

学校读者我要写书评

暂无评论

A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

arXiv

引用

arXiv 2022年

作者： Aalbers, J. Abe, K. Aerne, V. Agostini, F. Ahmed Maouloud, S. Akerib, D.S. Akimov, D.Yu. Akshat, J. Al Musalhi, A.K. Alder, F. Alsum, S.K. Althueser, L. Amarasinghe, C.S. Amaro, F.D. Ames, A. Anderson, T.J. Andrieu, B. Angelides, N. Angelino, E. Angevaare, J. Antochi, V.C. Antón Martin, D. Antunovic, B. Aprile, E. Araújo, H.M. Armstrong, J.E. Arneodo, F. Arthurs, M. Asadi, P. Baek, S. Bai, X. Bajpai, D. Baker, A. Balajthy, J. Balashov, S. Balzer, M. Bandyopadhyay, A. Bang, J. Barberio, E. Bargemann, J.W. Baudis, L. Bauer, D. Baur, D. Baxter, A. Baxter, A.L. Bazyk, M. Beattie, K. Behrens, J. Bell, N.F. Bellagamba, L. Beltrame, P. Benabderrahmane, M. Bernard, E.P. Bertone, G.F. Bhattacharjee, P. Bhatti, A. Biekert, A. Biesiadzinski, T.P. Binau, A.R. Biondi, R. Biondi, Y. Birch, H.J. Bishara, F. Bismark, A. Blanco, C. Blockinger, G.M. Bodnia, E. Boehm, C. Bolozdynya, A.I. Bolton, P.D. Bottaro, S. Bourgeois, C. Boxer, B. Brás, P. Breskin, A. Breur, P.A. Brew, C.A.J. Brod, J. Brookes, E. Brown, A. Brown, E. Bruenner, S. Bruno, G. Budnik, R. Bui, T.K. Burdin, S. Buse, S. Busenitz, J.K. Buttazzo, D. Buuck, M. Buzulutskov, A. Cabrita, R. Cai, C. Cai, D. Capelli, C. Cardoso, J.M.R. Carmona-Benitez, M.C. Cascella, M. Catena, R. Chakraborty, S. Chan, C. Chang, S. Chauvin, A. Chawla, A. Chen, H. Chepel, V. Chott, N.I. Cichon, D. Cimental Chavez, A. Cimmino, B. Clark, M. Co, R.T. Colijn, A.P. Conrad, J. Converse, M.V. Costa, M. Cottle, A. Cox, G. Creaner, O. Cuenca Garcia, J.J. Cussonneau, J.P. Cutter, J.E. Dahl, C.E. D'Andrea, V. David, A. Decowski, M.P. Dent, J.B. Deppisch, F.F. de Viveiros, L. Di Gangi, P. Di Giovanni, A. Di Pede, S. Dierle, J. Diglio, S. Dobson, J.E.Y. Doerenkamp, M. Douillet, D. Drexlin, G. Druszkiewicz, E. Dunsky, D. Eitel, K. Elykov, A. Emken, T. Engel, R. Eriksen, S.R. Fairbairn, M. Fan, A. Fan, J.J. Farrell, S.J. Fayer, S. Fearon, N.M. Ferella, A. Ferrari, C. Fieguth, A. Fieguth, A. Fiorucci, S. SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Kavli Institute for Particle Astrophysics and Cosmology Stanford University StanfordCA94305 United States Kamioka Observatory Institute for Cosmic Ray Research The University of Tokyo Higashi-Mozumi Kamioka Hida Gifu506-1205 Japan The University of Tokyo Kashiwa Chiba277-8582 Japan Physik-Institut University of Zurich Zurich8057 Switzerland Department of Physics and Astronomy University of Bologna INFN-Bologna Bologna40126 Italy LPNHE Sorbonne Université CNRS IN2P3 Paris75005 France Moscow115409 Russia Department of Physics and Astronomy Purdue University West LafayetteIN47907 United States Department of Physics University of Oxford Keble Rd OxfordOX1 3RH United Kingdom Department of Physics and Astronomy University College London LondonWC1E 6BT United Kingdom Department of Physics University of Wisconsin-Madison MadisonWI53706 United States Institut für Kernphysik Westfälische Wilhelms-Universität Münster Münster48149 Germany University of Michigan Randall Laboratory of Physics Ann ArborMI48109 United States LIBPhys Department of Physics University of Coimbra Coimbra3004-516 Portugal Department of Physics Blackett Laboratory Imperial College London LondonSW7 2BW United Kingdom INAF-Astrophysical Observatory of Torino Department of Physics University of Torino INFN-Torino Torino10125 Italy Nikhef The University of Amsterdam Science Park Amsterdam1098XG Netherlands Oskar Klein Centre Department of Physics Stockholm University AlbaNova StockholmSE-10691 Sweden Department of Physics Kavli Institute for Cosmological Physics The University of Chicago ChicagoIL60637 United States Vinca Institute of Nuclear Science University of Belgrade Mihajla Petrovica Alasa 12-14 Belgrade Serbia Faculty of Architecture Civil Engineering and Geodesy University of Banja Luka Bulevar vojvode Petra Bojovica 1a Banja Luka78000 Bosnia and Herzegovina Physics D

The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for Weakly Interacting Massive Particles (WIMPs), while featuring extensive sensitivity to many alternative dark matter candidates. These detectors can also study neutrinos through neutrinoless double-beta decay and through a variety of astrophysical sources. A next-generation xenon-based detector will therefore be a true multi-purpose observatory to significantly advance particle physics, nuclear physics, astrophysics, solar physics, and cosmology. This review article presents the science cases for such a detector. © 2022, CC BY.

关键词： Dark Matter

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The lactate receptor HCAR1 drives the recruitment of immunosuppressive PMN-MDSCs in colorectal cancer

引用

Nature immunology 2025年第4期26卷 635页

作者： Jiacheng He Xiaolei Chai Qiansen Zhang Yang Wang Yijie Wang Xinyu Yang Jingbo Wu Bo Feng Jing Sun Weiwei Rui Shuyin Ze Yuanyuan Fu Yumiao Zhao Ying Zhang Yao Zhang Meizhen Liu Chuang Liu Meifu She Xiangfei Hu Xueyun Ma Huaiyu Yang Dawei Li Senlin Zhao Guichao Li Zhen Zhang Zhonghui Tian Yanlin Ma Lingyan Cao Bo Yi Dali Li Ruth Nussinov Charis Eng Timothy A Chan Eytan Ruppin J Silvio Gutkind Feixiong Cheng Mingyao Liu Weiqiang Lu Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences and School of Life Sciences East China Normal University Shanghai China. Department of Urology and Department of Pathology The Fifth People's Hospital of Shanghai Fudan University Shanghai China. Department of General Surgery and Department of Pathology Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai China. Research Center for Complexity Sciences Hangzhou Normal University Hangzhou China. Department of Colorectal Surgery Department of Radiation Oncology Fudan University Shanghai Cancer Center Shanghai China. School of Life Sciences Fudan University Shanghai China. Hainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research Hainan Provincial Clinical Research Center for Thalassemia Department of Reproductive Medicine Key Laboratory of Reproductive Health Diseases Research and Translation (Hainan Medical University) Ministry of Education The First Affiliated Hospital of Hainan Medical University Haikou China. Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine College of Stomatology Shanghai Jiao Tong University Shanghai China. Department of Gastrointestinal Surgery The Third Xiangya Hospital Central South University Changsha China. Computational Structural Biology Section Basic Science Program Frederick National Laboratory for Cancer Research National Cancer Institute at Frederick Frederick MD USA. Department of Human Molecular Genetics and Biochemistry Sackler School of Medicine Tel Aviv University Tel Aviv Israel. Genomic Medicine Institute Lerner Research Institute Cleveland Clinic Cleveland OH USA. Department of Molecular Medicine Cleveland Clinic Lerner College of Medicine Case Western Reserve University Cleveland OH USA. Case Comprehensive Cancer Center Case Western Reserve University School of Medicine Cleveland OH USA. Center for Immunotherapy and Precision Immuno-Oncology Cleveland Clini

来源：评论

学校读者我要写书评

暂无评论

Editorial

引用

International Journal of Intelligent Information and database Systems 2017年第3-4期10卷 165-167页

作者： Bellatreche, Ladjel Manolopoulos, Yannis LIAS/ISAE-ENSMA Poitiers University Téléport 2 1 avenue Clément Ader Futuroscope Chasseneuil Cedex86961 France Data Science and Engineering Lab Department of Informatics Aristotle University of Thessaloniki Thessaloniki54124 Greece

来源：评论

学校读者我要写书评

暂无评论

Different approaches to community detection

arXiv

引用

arXiv 2017年

作者： Rosvall, Martin Delvenne, Jean-Charles Schaub, Michael T. Lambiotte, Renaud Integrated Science Lab Department of Physics Umeå University Umeå Sweden ICTEAM Louvain-la-Neuve Belgium Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge United States Department of Engineering Science University of Oxford United Kingdom Mathematical Institute University of Oxford Oxford United Kingdom

A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark networks with a particular form of community structure and classified them based on the mathematical techniques they employ. However, this comparison can be misleading because apparent similarities in their mathematical machinery can disguise different reasons for why we would want to employ community detection in the first place. Here we provide a focused review of these different motivations that underpin community detection. This problem-driven classification is useful in applied network science, where it is important to select an appropriate algorithm for the given purpose. Moreover, highlighting the different approaches to community detection also delineates the many lines of research and points out open directions and avenues for future research. Copyright © 2017, The Authors. All rights reserved.

关键词： Population dynamics

来源：评论

学校读者我要写书评

暂无评论

Digitizing the thermal and hydrological parameters of land surface in subtropical China using AMSR-E brightness temperatures

引用

International Journal of Digital Earth 2017年第7期10卷 687-700页

作者： Yongxian Su Xiuzhi Chen Hua Su Liyang Liu Jishan Liao Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangzhouPeople’s Republic of China Jiangsu Key Laboratory of Agricultural Meteorology College of Applied MeteorologyNanjing University of Information Science and TechnologyNanjingPeople’s Republic of China Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical GardenChinese Academy of SciencesGuangzhouPeople’s Republic of China Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education National Engineering Research Centre of Geo-spatial Information TechnologyFuzhou UniversityFuzhouPeople’s Republic of China

Digitizing the land surface temperature(T_(s))and surface soil moisture(m _(v))is essential for developing the intelligent Digital ***,we developed a two parameter physical-based passive microwave remote sensing model for jointly retrieving T_(s) and m_(v) using the dual-polarized T_(b) of Aqua satellite advanced microwave scanning radiometer(AMSR-E)C-band(6.9 GHz)based on the simplified radiative transfer *** using in situ T_(s) and m_(v) in southern China showed the average root mean square errors(RMSE)of T s and m_(v) retrievals reach 2.42 K(R^(2)=0.61,n=351)and 0.025 g cm^(−3)(R^(2)=0.68,n=663),*** results were also validated using global in situ T_(s)(n=2362)and m_(v)(n=1657)of International Soil Moisture *** corresponding RMSE are 3.44 k(R 2=0.86)and 0.039 g cm^(−3)(R^(2)=0.83),*** monthly variations of model-derived Ts and mv are highly consistent with those of the Moderate Resolution Imaging Spectroradiometer T_(s)(R^(2)=0.57;RMSE=2.91 k)and ECV_SM m_(v)(R^(2)=0.51;RMSE=0.045 g cm^(−3)),***,this paper indicates an effective way to jointly modeling T_(s) and m_(v) using passive microwave remote sensing.

关键词： Surface soil moisture land surface temperature physical-based radiative transfer model AMSR-E brightness temperatures

来源：评论

学校读者我要写书评

暂无评论

Visual Reasoning Indexing and Retrieval Using In-Memory Computing

Visual Reasoning Indexing and Retrieval Using In-Memory Comp...

引用

作者： Cao, Hongfei Li, Yu Allen, Carla M. Phinney, Michael A. Shyu, Chi-Ren Computer Science Interdisciplinary Data Analytics and Search Lab University of Missouri-Columbia ColumbiaMO65211 United States Clinical and Diagnostic Science Department University of Missouri-Columbia ColumbiaMO65211 United States Computer Science Electrical and Computer Engineering Informatics Institute Interdisciplinary Data Analytics and Search Lab University of Missouri-Columbia ColumbiaMO65211 United States

Research has shown that visual information of multimedia is critical in highly-skilled applications, such as biomedicine and life sciences, and a certain visual reasoning process is essential for meaningful search in a timely manner. Relevant image characteristics are learned and verified with accumulated experiences during the reasoning processes. However, such processes are highly dynamic and elusive to computationally quantify and therefore challenging to analyze, let alone to make the knowledge sharable across users. In this paper we study real-time human visual reasoning processes with the aid of gaze tracking devices. Temporal and spatial representations are proposed for gaze modeling, and a visual reasoning retrieval system utilizing in-memory computing under Big data ecosystems is designed for real-time search of similar reasoning models. Simulated data derived from human subject experiments show that the system has a reasonably high accuracy and provides predictive estimations for hardware requirements versus data sizes for exhaustive searches. Comparison between various visual action classifiers show challenges in modeling visual actions. The proposed system provides a theoretical framework and computing platform for advancement in visual semantic computing, as well as potential applications in medicine, social science, and arts. © 2016 World Scientific Publishing Company.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：