How to make a Quick$: Using Hierarchical Clustering to Improve the Efficiency of the Dollar Recognizer
J. Reaver, T. F. Stahovich, J. Herold
Sketch Based Interfaces and Modeling, 2011, pp. 103--108.
Abstract: We present Quick$ (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.
@inproceedings{Reaver:2011:HTM,
author = {J. Reaver and T. F. Stahovich and J. Herold},
title = {How to make a Quick$: Using Hierarchical Clustering to Improve the Efficiency of the Dollar Recognizer},
booktitle = {Sketch Based Interfaces and Modeling},
pages = {103--108},
year = {2011},
}
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