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

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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
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@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
} }
Citation