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1034 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 10, NO. 6, OCTOBER 2008 Predicting Visual Focus of Attention From Intention in Remote Collaborative Tasks
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Document Date: 2013-03-14 21:34:49


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Panasonic / Sony / Gaze Based Systems / Authorized / IEEE Authorized / /

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Carnegie Mellon University / Human Computer Interaction Institute / Language Technologies Institute / /

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online puzzles / target solution / analytical solution / eye-imaging system / online computer task / real-time spoken language processing / online puzzle task / real world applications / natural language processing problems / online jigsaw puzzle task / video systems / remote site / multimedia systems / unsupervised clustering algorithm / online prediction / Task performance using such systems / wireless microphones / multimedia applications / machinery repairs / /

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Defense Science and Technology Agency / National Science Foundation / Cambridge Univ. / Language Technologies Institute / Human Computer Interaction Institute / Carnegie Mellon University / Pittsburgh / Language Technologies Institute at Carnegie Mellon University / Pittsburgh / /

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Jie Yang Abstract / Manuscript / Lui Min Oh / Susan R. Fussell / Tal Blum / John R. Smith / /

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Machine Learning / /

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speech recognition / bioinformatics / 3-D / Viterbi algorithm / video conferencing system / unsupervised clustering algorithm / Machine Learning / EM algorithm / K-Means VQ algorithm / training/testing algorithms / natural language processing / Digital Object Identifier / VQ algorithm / three-step algorithm / /

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