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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 5 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    HICSS
    2010
    IEEE
    258views Biometrics» more  HICSS 2010»
    An Empirical Comparison of Four Text Mining Methods
    13 years 8 months ago
    An Empirical Comparison of Four Text Mining Methods
    Download  iacis.org
    The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various...
    Sangno Lee, Jeff Baker, Jaeki Song, James C. Wethe...
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    CIVR
    2007
    Springer
    144views Image Analysis» more  CIVR 2007»
    Image retrieval on large-scale image databases
    14 years 1 months ago
    Image retrieval on large-scale image databases
    Download  cobweb.ecn.purdue.edu
    Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing ...
    Eva Hörster, Rainer Lienhart, Malcolm Slaney
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    SIGIR
    2003
    ACM
    125views Information Technology» more  SIGIR 2003»
    Modeling annotated data
    14 years 1 months ago
    Modeling annotated data
    Download  www.cs.princeton.edu
    We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...
    David M. Blei, Michael I. Jordan
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    EMNLP
    2009
    207views Natural Language Processing» more  EMNLP 2009»
    Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
    13 years 5 months ago
    Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
    Download  www.stanford.edu
    A significant portion of the world's text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages h...
    Daniel Ramage, David Hall, Ramesh Nallapati, Chris...
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