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    JMLR
    2010
    119views more  JMLR 2010»
    Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
    13 years 2 months ago
    Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
    Download  jmlr.csail.mit.edu
    Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
    Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
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    PERVASIVE
    2009
    Springer
    109views Applied Computing» more  PERVASIVE 2009»
    Methodologies for Continuous Cellular Tower Data Analysis
    14 years 2 months ago
    Methodologies for Continuous Cellular Tower Data Analysis
    Download  reality.media.mit.edu
    This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
    Nathan Eagle, John A. Quinn, Aaron Clauset
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    SDM
    2007
    SIAM
    121views Data Mining» more  SDM 2007»
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    13 years 9 months ago
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    Download  siam.org
    We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
    Hichem Frigui, Joshua Caudill
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    DMIN
    2006
    122views Data Mining» more  DMIN 2006»
    Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
    13 years 9 months ago
    Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
    Download  ww1.ucmss.com
    We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
    Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
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    ACL
    2009
    195views Computational Linguistics» more  ACL 2009»
    Distant supervision for relation extraction without labeled data
    13 years 5 months ago
    Distant supervision for relation extraction without labeled data
    Download  www.stanford.edu
    Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
    Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
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