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    How to make a Quick$: Using Hierarchical Clustering toImprove the Efficiency of the Dollar Recognizer

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    103-108.pdf (268.7Kb)
    Date
    2011
    Author
    Reaver, J.
    Stahovich, T. F.
    Herold, J.
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    Abstract
    We present Quick$ (QuickBuck), an extension to the Dollar Recognizer designed to improve recognition efficiency. While the Dollar Recognizer must search all training templates to recognize an unknown symbol, Quick$ employs hierarchical clustering along with branch and bound search to do this more efficiently. Experiments have demonstrated that Quick$ is almost always faster than the Dollar Recognizer and always selects the same best-match templates.
    BibTeX
    @inproceedings {10.2312:SBM:SBM11:103-108,
    booktitle = {Eurographics Workshop on Sketch-Based Interfaces and Modeling},
    editor = {Tracy Hammond and Andy Nealen},
    title = {{How to make a Quick$: Using Hierarchical Clustering toImprove the Efficiency of the Dollar Recognizer}},
    author = {Reaver, J. and Stahovich, T. F. and Herold, J.},
    year = {2011},
    publisher = {The Eurographics Association},
    ISSN = {1812-3503},
    ISBN = {978-1-4503-0906-6},
    DOI = {10.2312/SBM/SBM11/103-108}
    }
    URI
    http://dx.doi.org/10.2312/SBM/SBM11/103-108
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    • SBM11: Sketch Based Interfaces and Modeling 2011

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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