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    DAGSTUHL
    2007
    94views Software Engineering» more  DAGSTUHL 2007»
    Learning Vector Quantization: generalization ability and dynamics of competing prototypes
    14 years 11 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
    14 years 9 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
    14 years 9 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
    14 years 10 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
    14 years 11 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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