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    SIGIR
    2010
    ACM
    229views Information Technology» more  SIGIR 2010»
    Uncovering social spammers: social honeypots + machine learning
    13 years 12 months ago
    Uncovering social spammers: social honeypots + machine learning
    Download  faculty.cs.tamu.edu
    Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
    Kyumin Lee, James Caverlee, Steve Webb
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    TRECVID
    2008
    207views Internet Technology» more  TRECVID 2008»
    Learning TRECVID'08 High-Level Features from YouTube
    13 years 9 months ago
    Learning TRECVID'08 High-Level Features from YouTube
    Download  www-nlpir.nist.gov
    Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
    Adrian Ulges, Christian Schulze, Markus Koch, Thom...
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    EOR
    2007
    165views more  EOR 2007»
    Adaptive credit scoring with kernel learning methods
    13 years 8 months ago
    Adaptive credit scoring with kernel learning methods
    Download  www.crc.man.ed.ac.uk
    Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
    Yingxu Yang
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    WWW
    2009
    ACM
    200views Internet Technology» more  WWW 2009»
    Learning to recognize reliable users and content in social media with coupled mutual reinforcement
    14 years 8 months ago
    Learning to recognize reliable users and content in social media with coupled mutual reinforcement
    Download  www.mathcs.emory.edu
    Community Question Answering (CQA) has emerged as a popular forum for users to pose questions for other users to answer. Over the last few years, CQA portals such as Naver and Yah...
    Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichte...
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    ICCV
    2001
    IEEE
    212views Computer Vision» more  ICCV 2001»
    Topology Free Hidden Markov Models: Application to Background Modeling
    14 years 10 months ago
    Topology Free Hidden Markov Models: Application to Background Modeling
    Download  svr-www.eng.cam.ac.uk
    Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
    Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
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