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    FCCM
    2006
    IEEE
    170views VLSI» more  FCCM 2006»
    An Architecture for Efficient Hardware Data Mining using Reconfigurable Computing Systems
    14 years 1 months ago
    An Architecture for Efficient Hardware Data Mining using Reconfigurable Computing Systems
    Download  gridsec.usc.edu
    The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...
    Zachary K. Baker, Viktor K. Prasanna
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    ICAC
    2005
    IEEE
    78views Applied Computing» more  ICAC 2005»
    AutoPod: Unscheduled System Updates with Zero Data Loss
    14 years 3 months ago
    AutoPod: Unscheduled System Updates with Zero Data Loss
    Download  www.ncl.cs.columbia.edu
    Patching, upgrading, and maintaining operating system software is a growing management complexity problem that can result in unacceptable system downtime. We introduce AutoPod, a ...
    Shaya Potter, Jason Nieh
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    SSDBM
    2005
    IEEE
    132views Database» more  SSDBM 2005»
    Co-Scheduling of Computation and Data on Computer Clusters
    14 years 3 months ago
    Co-Scheduling of Computation and Data on Computer Clusters
    Download  www.cct.lsu.edu
    Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
    Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
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    DICTA
    2008
    135views Applied Computing» more  DICTA 2008»
    Application of the Particle Filter to Tracking of Fish in Aquaculture Research
    13 years 11 months ago
    Application of the Particle Filter to Tracking of Fish in Aquaculture Research
    Download  eprints.utas.edu.au
    The analysis of fish movement as an indicator of fish behaviour plays an important role in aquaculture research. Currently observations are carried out manually using video record...
    Tomasz Pinkiewicz, Ray Williams, John Purser
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    SIGIR
    2008
    ACM
    192views Information Technology» more  SIGIR 2008»
    Learning to rank with partially-labeled data
    13 years 9 months ago
    Learning to rank with partially-labeled data
    Download  ssli.ee.washington.edu
    Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
    Kevin Duh, Katrin Kirchhoff
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