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    SIGMOD
    2007
    ACM
    145views Database» more  SIGMOD 2007»
    Why off-the-shelf RDBMSs are better at XPath than you might expect
    14 years 5 months ago
    Why off-the-shelf RDBMSs are better at XPath than you might expect
    Download  wwwcs.upb.de
    To compensate for the inherent impedance mismatch between the relational data model (tables of tuples) and XML (ordered, unranked trees), tree join algorithms have become the prev...
    Torsten Grust, Jan Rittinger, Jens Teubner
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    EUROSYS
    2008
    ACM
    179views Software Engineering» more  EUROSYS 2008»
    Manageable fine-grained information flow
    14 years 2 months ago
    Manageable fine-grained information flow
    Download  www.cs.ucla.edu
    The continuing frequency and seriousness of security incidents underlines the importance of application security. Decentralized information flow control (DIFC), a promising tool ...
    Petros Efstathopoulos, Eddie Kohler
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    CCS
    2005
    ACM
    121views Security Privacy» more  CCS 2005»
    On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits
    13 years 11 months ago
    On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits
    Download  www.cs.unm.edu
    Vulnerabilities that allow worms to hijack the control flow of each host that they spread to are typically discovered months before the worm outbreak, but are also typically disc...
    Jedidiah R. Crandall, Zhendong Su, Shyhtsun Felix ...
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    EMSOFT
    2005
    Springer
    145views Software Engineering» more  EMSOFT 2005»
    AutoDVS: an automatic, general-purpose, dynamic clock scheduling system for hand-held devices
    13 years 11 months ago
    AutoDVS: an automatic, general-purpose, dynamic clock scheduling system for hand-held devices
    Download  www.cs.york.ac.uk
    We present AutoDVS, a dynamic voltage scaling (DVS) system for hand-held computers. Unlike extant DVS systems, AutoDVS distinguishes common, course-grain, program behavior and cou...
    Selim Gurun, Chandra Krintz
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    MICCAI
    2000
    Springer
    210views Medical Imaging» more  MICCAI 2000»
    Small Sample Size Learning for Shape Analysis of Anatomical Structures
    13 years 9 months ago
    Small Sample Size Learning for Shape Analysis of Anatomical Structures
    Download  people.csail.mit.edu
    We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
    Polina Golland, W. Eric L. Grimson, Martha Elizabe...
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