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    DAGSTUHL
    2007
    94views Software Engineering» more  DAGSTUHL 2007»
    Learning Vector Quantization: generalization ability and dynamics of competing prototypes
    13 years 9 months ago
    Learning Vector Quantization: generalization ability and dynamics of competing prototypes
    Download  witoelar.com
    Aree Witoelar, Michael Biehl, Barbara Hammer
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    CORR
    2007
    Springer
    59views Education» more  CORR 2007»
    On the use of self-organizing maps to accelerate vector quantization
    13 years 7 months ago
    On the use of self-organizing maps to accelerate vector quantization
    Download  www.dice.ucl.ac.be
    Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantiÿed (or classiÿed) either on the same location or on nei...
    Eric de Bodt, Marie Cottrell, Patrick Letré...
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    PR
    2008
    123views more  PR 2008»
    Extensions of vector quantization for incremental clustering
    13 years 7 months ago
    Extensions of vector quantization for incremental clustering
    Download  techlab.bu.edu
    In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
    Edwin Lughofer
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    DICTA
    2008
    184views Applied Computing» more  DICTA 2008»
    Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
    13 years 8 months ago
    Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
    Download  personal.gscit.monash.edu.au
    —This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
    Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
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    ESANN
    2008
    91views Neural Networks» more  ESANN 2008»
    Phase transitions in Vector Quantization
    13 years 9 months ago
    Phase transitions in Vector Quantization
    Download  www.dice.ucl.ac.be
    Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
    Aree Witoelar, Anarta Ghosh, Michael Biehl
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