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    LISA
    2008
    174views Operating System» more  LISA 2008»
    Portable Desktop Applications Based on P2P Transportation and Virtualization
    13 years 10 months ago
    Portable Desktop Applications Based on P2P Transportation and Virtualization
    Download  www.usenix.org
    Play-on-demand is usually regarded as a feasible access mode for web content (including streaming video, web pages and so on), web services and some Software-As-A-Service (SaaS) a...
    Youhui Zhang, Xiaoling Wang, Liang Hong
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    ATAL
    2008
    Springer
    146views Intelligent Agents» more  ATAL 2008»
    Mobile opportunistic commerce: mechanisms, architecture, and application
    13 years 9 months ago
    Mobile opportunistic commerce: mechanisms, architecture, and application
    Download  www.eecs.harvard.edu
    We present mechanisms, architectures, and an implementation addressing challenges with mobile opportunistic commerce centering on markets and mechanisms that support the procureme...
    Ece Kamar, Eric Horvitz, Chris Meek
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    CCS
    2008
    ACM
    133views Security Privacy» more  CCS 2008»
    Reducing protocol analysis with XOR to the XOR-free case in the horn theory based approach
    13 years 9 months ago
    Reducing protocol analysis with XOR to the XOR-free case in the horn theory based approach
    Download  www.infsec.uni-trier.de
    In the Horn theory based approach for cryptographic protocol analysis, cryptographic protocols and (Dolev-Yao) intruders are modeled by Horn theories and security analysis boils d...
    Ralf Küsters, Tomasz Truderung
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    EMNLP
    2008
    174views Natural Language Processing» more  EMNLP 2008»
    Relative Rank Statistics for Dialog Analysis
    13 years 9 months ago
    Relative Rank Statistics for Dialog Analysis
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    We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a...
    Juan Huerta
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 9 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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