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Improved Support for Machine-Assisted Ballot-Level Audits Eric Kim, University of California, Berkeley Nicholas Carlini, University of California, Berkeley Andrew Chang, University of California, Berkeley George Yiu, Uni
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Document Date: 2013-10-16 18:28:55

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Company

Sequoia Voting Systems / OpenCount / Premier Election Solutions / Diebold Election Systems / Election System & Software / /

Country

United States / /

Facility

University of California / /

IndustryTerm

tally / segmentation algorithms / electronic technology / cover algorithm / dynamic programming algorithm / k-means algorithm / transitive audit / image-processing task / automated processing / deployed voting systems / whitespace cover algorithm / human operator / template matching search / given / /

Organization

National Science Foundation / University of California / Berkeley / University of California / San Diego / /

Person

Nicholas Carlini / Andrew Chang / George Yiu / David Wagner / Kai Wang / /

Position

official results / representative patches / representative / /

Product

CVRs / /

ProvinceOrState

Leon County / Marin County / Napa County / Florida / California / /

Technology

cover algorithm / X-Y Cut algorithm / whitespace cover algorithm / scoring algorithm / k-means algorithm / OCR / segmentation algorithms / dynamic programming algorithm / /

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