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Mining Photo-sharing Websites to Study Ecological Phenomena Haipeng Zhang Mohammed Korayem
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Document Date: 2014-08-03 00:38:07


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File Size: 2,56 MB

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City

Boston / New York / Philadelphia / Lyon / London / New York City / San Diego / Chicago / /

Company

Renren / Cambridge University Press / Twitter / Facebook / Location Based Social Networks / GSN / IBM / Accuracy Precision / /

Continent

North America / Europe / /

Country

France / United States / Canada / China / /

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Event

Product Issues / Product Recall / Natural Disaster / Extinction / Environmental Issue / Man-Made Disaster / /

Facility

University Bloomington / Biology University of California San Francisco / M. Hall / D. K. Hall / Indiana University / Insight Center / /

IndustryTerm

online data / influenza epidemics using search engine query data / online images / machine learning algorithms / social networking sites / real applications / passive data-mining / social media websites / large-scale social media collections / online photos / shows raw satellite snow data / satellite resolution / satellite map / weka data mining software / bayesian networks / human travel / energy / recognition tools / media users / satellite data / social media / social media sites / satellite passes / online communities / search engine queries / social networking / satellite snow coverage data / gradient energy / mining / social networks / satellite ground truth datasets / crowd-sourced data mining techniques / scale using internet chain-letter data / photo-sharing site / /

MarketIndex

Dow 30 / /

OperatingSystem

L3 / /

Organization

Cambridge University / IN School of Informatics & Computing Indiana University Bloomington / Biology University of California San Francisco / National Science Foundation / Lilly Endowment / Land Processes Distributed Active Archive Center / National Snow and Ice Data Center / NOAA National Climatic Data Center / Indiana University / U.S. National Oceanic and Atmospheric Administration / International World Wide Web Conference Committee / Study Ecological Phenomena Haipeng Zhang Mohammed Korayem David J. Crandall School of Informatics & Computing Indiana University Bloomington / National Aeronautics and Space Administration / Insight Center / NASA MODIS / U.S. National Weather Service / /

Person

Gretchen LeBuhn / X. Jin / J. Luo / J. Han / A. Gallagher / L. Cao / Michael Trosset / Mohammed Korayem David / /

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Position

human judge / evidence forward / Scene Analysis General / Professor / Cao / /

Product

LibLinear / Flickr / F-Measure Baseline NYC / percentage points / Gaussians / curves / /

ProvinceOrState

Alaska / New York / /

PublishedMedium

Journal of Machine Learning Research / /

Region

Latin America / northeast US / /

Technology

Bioinformatics / machine learning algorithms / smartphone / GPS / search engine / machine learning / Image Processing / digital camera / Data Mining / /

URL

http /

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