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    IEEECIT
    2009
    IEEE
    184views Information Technology» more  IEEECIT 2009»
    Clustering of Software Systems Using New Hybrid Algorithms
    15 years 4 months ago
    Clustering of Software Systems Using New Hybrid Algorithms
    Download  ceit.aut.ac.ir
    —Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
    Ali Safari Mamaghani, Mohammad Reza Meybodi
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    EAAI
    2006
    157views more  EAAI 2006»
    Blind source separation based on self-organizing neural network
    14 years 10 months ago
    Blind source separation based on self-organizing neural network
    Download  www.biologie.uni-regensburg.de
    This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
    Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
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    CVPR
    2005
    IEEE
    161views Computer Vision» more  CVPR 2005»
    Restoration and Recognition in a Loop
    16 years 3 days ago
    Restoration and Recognition in a Loop
    Download  www.ews.uiuc.edu
    In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
    Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
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    CASES
    2006
    ACM
    187views System Software» more  CASES 2006»
    Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
    15 years 4 months ago
    Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
    Download  ce.et.tudelft.nl
    Microprocessor vendors have provided special-purpose instructions such as psadbw and pdist to accelerate the sumof-absolute differences (SAD) similarity measurement. The usefulne...
    Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
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    ESANN
    2000
    95views Neural Networks» more  ESANN 2000»
    Local input-output stability of recurrent networks with time-varying weights
    14 years 11 months ago
    Local input-output stability of recurrent networks with time-varying weights
    Download  www.dice.ucl.ac.be
    Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
    Jochen J. Steil
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