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    EMNLP
    2008
    120views Natural Language Processing» more  EMNLP 2008»
    Who is Who and What is What: Experiments in Cross-Document Co-Reference
    13 years 11 months ago
    Who is Who and What is What: Experiments in Cross-Document Co-Reference
    Download  www.aclweb.org
    This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
    Alex Baron, Marjorie Freedman
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    SDM
    2010
    SIAM
    195views Data Mining» more  SDM 2010»
    MACH: Fast Randomized Tensor Decompositions
    13 years 11 months ago
    MACH: Fast Randomized Tensor Decompositions
    Download  www.cs.cmu.edu
    Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
    Charalampos E. Tsourakakis
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    SDM
    2010
    SIAM
    183views Data Mining» more  SDM 2010»
    GraSS: Graph Structure Summarization
    13 years 11 months ago
    GraSS: Graph Structure Summarization
    Download  www.cs.bu.edu
    Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
    Kristen LeFevre, Evimaria Terzi
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    SDM
    2010
    SIAM
    115views Data Mining» more  SDM 2010»
    Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations
    13 years 11 months ago
    Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations
    Download  www.cs.cmu.edu
    Given large, multi-million node graphs (e.g., FaceBook, web-crawls, etc.), how do they evolve over time? How are they connected? What are the central nodes and the outliers of the...
    U. Kang, Charalampos E. Tsourakakis, Ana Paula App...
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    SDM
    2010
    SIAM
    200views Data Mining» more  SDM 2010»
    Residual Bayesian Co-clustering for Matrix Approximation
    13 years 11 months ago
    Residual Bayesian Co-clustering for Matrix Approximation
    Download  www-users.cs.umn.edu
    In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
    Hanhuai Shan, Arindam Banerjee
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