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    ECCV
    2008
    Springer
    224views Computer Vision» more  ECCV 2008»
    Compressive Sensing for Background Subtraction
    14 years 9 months ago
    Compressive Sensing for Background Subtraction
    Download  www.ece.rice.edu
    Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
    Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
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    BMCBI
    2007
    132views more  BMCBI 2007»
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    13 years 7 months ago
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    Download  www.biomedcentral.com
    Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
    Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...
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    ECIS
    2003
    137views Information Technology» more  ECIS 2003»
    From traditional to virtual organisation: implications for work unit boundaries
    13 years 8 months ago
    From traditional to virtual organisation: implications for work unit boundaries
    Download  is2.lse.ac.uk
    Boundary and virtual organisation theory were used to study the implications of organisation level virtualisation for work units. A single case study in a geographically dispersed...
    Christopher J. Hemingway, Karin Breu
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    CONEXT
    2009
    ACM
    122views Computer Networks» more  CONEXT 2009»
    ThunderDome: discovering upload constraints using decentralized bandwidth tournaments
    13 years 8 months ago
    ThunderDome: discovering upload constraints using decentralized bandwidth tournaments
    Download  research.microsoft.com
    ThunderDome is a system for collaboratively measuring upload bandwidths in ad-hoc peer-to-peer systems. It works by scheduling bandwidth probes between pairs of hosts, wherein eac...
    John R. Douceur, James W. Mickens, Thomas Moscibro...
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    ICDM
    2003
    IEEE
    112views Data Mining» more  ICDM 2003»
    Privacy-preserving Distributed Clustering using Generative Models
    14 years 20 days ago
    Privacy-preserving Distributed Clustering using Generative Models
    Download  www.lans.ece.utexas.edu
    We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
    Srujana Merugu, Joydeep Ghosh
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