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

    Reaver, J.; Stahovich, T. F.; Herold, J. (The Eurographics Association, 2011)
    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 ...

    ClassySeg: A Machine Learning Approach to AutomaticStroke Segmentation 

    Herold, J.; Stahovich, T. F. (The Eurographics Association, 2011)
    We present ClassySeg, a technique for segmenting hand-drawn pen strokes into lines and arcs. ClassySeg employs machine learning techniques to infer the segmentation intended by the drawer. The technique begins by identifying ...

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    AuthorHerold, J. (2)
    Stahovich, T. F. (2)
    Reaver, J. (1)SubjectCategories and Subject Descriptors (according to ACM CCS): I.4.6 [Computer Graphics]: Image Processing andComputer Vision Segmentation - Edge and feature detection (1)Categories and Subject Descriptors (according to ACM CCS): I.7.5 [Computer Graphics]: Document Capture Graphics recognition and interpretation (1)... View MoreDate Issued2011 (2)Has File(s)true (2)

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