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    TC
    2002
    63views Information Technology» more  TC 2002»
    Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation
    13 years 4 months ago
    Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation
    Download  home.dei.polimi.it
    Cesare Alippi
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    IPSN
    2005
    Springer
    144views Sensor Networks» more  IPSN 2005»
    Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
    13 years 10 months ago
    Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
    Download  www.ee.ndhu.edu.tw
    A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...
    Jen-Yeu Chen, Gopal Pandurangan, Dongyan Xu
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    JNW
    2006
    108views more  JNW 2006»
    System-Level Fault Diagnosis Using Comparison Models: An Artificial-Immune-Systems-Based Approach
    13 years 4 months ago
    System-Level Fault Diagnosis Using Comparison Models: An Artificial-Immune-Systems-Based Approach
    Download  www.academypublisher.com
    The design of large dependable multiprocessor systems requires quick and precise mechanisms for detecting the faulty nodes. The problem of system-level fault diagnosis is computati...
    Mourad Elhadef, Shantanu Das, Amiya Nayak
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    FOCS
    1999
    IEEE
    165views Theoretical Computer Science» more  FOCS 1999»
    An Algorithmic Theory of Learning: Robust Concepts and Random Projection
    13 years 9 months ago
    An Algorithmic Theory of Learning: Robust Concepts and Random Projection
    Download  www-math.mit.edu
    We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
    Rosa I. Arriaga, Santosh Vempala
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    ECCV
    2008
    Springer
    168views Computer Vision» more  ECCV 2008»
    A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
    14 years 6 months ago
    A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
    Download  gamma.cs.unc.edu
    The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
    Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys
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