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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 4 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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    WWW
    2010
    ACM
    216views Internet Technology» more  WWW 2010»
    Statistical models of music-listening sessions in social media
    14 years 2 months ago
    Statistical models of music-listening sessions in social media
    Download  research.microsoft.com
    User experience in social media involves rich interactions with the media content and other participants in the community. In order to support such communities, it is important to...
    Elena Zheleva, John Guiver, Eduarda Mendes Rodrigu...
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    SAC
    2010
    ACM
    221views Applied Computing» more  SAC 2010»
    Background knowledge in formal concept analysis: constraints via closure operators
    14 years 2 months ago
    Background knowledge in formal concept analysis: constraints via closure operators
    Download  vychodil.inf.upol.cz
    The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
    Radim Belohlávek, Vilém Vychodil
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    SAC
    2009
    ACM
    175views Applied Computing» more  SAC 2009»
    Applying latent dirichlet allocation to group discovery in large graphs
    14 years 2 months ago
    Applying latent dirichlet allocation to group discovery in large graphs
    Download  eliassi.org
    This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
    Keith Henderson, Tina Eliassi-Rad
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    SC
    2009
    ACM
    232views Applied Computing» more  SC 2009»
    Evaluating use of data flow systems for large graph analysis
    14 years 2 months ago
    Evaluating use of data flow systems for large graph analysis
    Download  dsl.cs.uchicago.edu
    Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
    Andy Yoo, Ian Kaplan
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