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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 7 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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    ICASSP
    2011
    IEEE
    148views Signal Processing» more  ICASSP 2011»
    A knowledge-based algorithm to remove blocking artifacts in skin images for forensic analysis
    12 years 11 months ago
    A knowledge-based algorithm to remove blocking artifacts in skin images for forensic analysis
    Download  mirlab.org
    Identifying criminals and victims in evidence images, where their faces are covered or obstructed, is a challenging task. In the legal case, United States v. Michael Joseph Pepe (...
    Chaoying Tang, Adams Wai-Kin Kong, Noah Craft
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    TC
    2008
    185views Information Technology» more  TC 2008»
    Improving Quality of VoIP Streams over WiMax
    13 years 7 months ago
    Improving Quality of VoIP Streams over WiMax
    Download  www.cs.ucf.edu
    Real-time services such as VoIP are becoming popular and are major revenue earners for network service providers. These services are no longer confined to the wired domain and are ...
    Shamik Sengupta, Mainak Chatterjee, Samrat Ganguly
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    MANSCI
    2007
    121views more  MANSCI 2007»
    Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
    13 years 7 months ago
    Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
    Download  scumis.scu.edu
    Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises di�...
    Sanjiv R. Das, Mike Y. Chen
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    ICWSM
    2009
    189views Internet Technology» more  ICWSM 2009»
    Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
    13 years 5 months ago
    Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
    Download  www.cs.indiana.edu
    User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
    Jason S. Kessler, Nicolas Nicolov
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