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    CCS
    2007
    ACM
    175views Security Privacy» more  CCS 2007»
    Analyzing network traffic to detect self-decrypting exploit code
    14 years 2 months ago
    Analyzing network traffic to detect self-decrypting exploit code
    Download  discovery.csc.ncsu.edu
    Remotely-launched software exploits are a common way for attackers to intrude into vulnerable computer systems. As detection techniques improve, remote exploitation techniques are...
    Qinghua Zhang, Douglas S. Reeves, Peng Ning, S. Pu...
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    VLDB
    2000
    ACM
    229views Database» more  VLDB 2000»
    Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
    14 years 1 months ago
    Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
    Download  www.vldb.org
    Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
    Kaushik Chakrabarti, Sharad Mehrotra
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    ACL
    2008
    174views Computational Linguistics» more  ACL 2008»
    A Critical Reassessment of Evaluation Baselines for Speech Summarization
    13 years 11 months ago
    A Critical Reassessment of Evaluation Baselines for Speech Summarization
    Download  www.aclweb.org
    We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
    Gerald Penn, Xiaodan Zhu
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    DMIN
    2008
    190views Data Mining» more  DMIN 2008»
    Optimization of Self-Organizing Maps Ensemble in Prediction
    13 years 11 months ago
    Optimization of Self-Organizing Maps Ensemble in Prediction
    Download  eric.univ-lyon2.fr
    The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
    Elie Prudhomme, Stéphane Lallich
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    AAAI
    2006
    204views Intelligent Agents» more  AAAI 2006»
    Computing Slater Rankings Using Similarities among Candidates
    13 years 11 months ago
    Computing Slater Rankings Using Similarities among Candidates
    Download  www.cs.cmu.edu
    Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
    Vincent Conitzer
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