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    EMNLP
    2009
    121views Natural Language Processing» more  EMNLP 2009»
    Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
    14 years 9 months ago
    Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
    Download  www.aclweb.org
    The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
    Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
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    JSS
    2010
    198views more  JSS 2010»
    Accelerated collection of sensor data by mobility-enabled topology ranks
    14 years 6 months ago
    Accelerated collection of sensor data by mobility-enabled topology ranks
    Download  www.hobnet-project.eu
    We study the problem of fast and energy-efficient data collection of sensory data using a mobile sink, in wireless sensor networks in which both the sensors and the sink move. Mot...
    Constantinos Marios Angelopoulos, Sotiris E. Nikol...
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    CVPR
    2005
    IEEE
    189views Computer Vision» more  CVPR 2005»
    3D Reconstruction by Fitting Low-Rank Matrices with Missing Data
    16 years 1 months ago
    3D Reconstruction by Fitting Low-Rank Matrices with Missing Data
    Download  cmp.felk.cvut.cz
    Daniel Martinec, Tomás Pajdla
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    EDBT
    2002
    ACM
    108views Database» more  EDBT 2002»
    The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking
    15 years 12 months ago
    The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking
    Download  reference.kfupm.edu.sa
    Anja Theobald, Gerhard Weikum
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    EDBT
    2006
    ACM
    169views Database» more  EDBT 2006»
    Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
    15 years 12 months ago
    Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
    Download  infolab.stanford.edu
    Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
    Ralf Schenkel, Martin Theobald
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