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CAPTCHA / Human-based computation / Image processing / Luis von Ahn / Object recognition / Histogram / Naive Bayes classifier / Image histogram / Linear classifier / Statistics / Statistical classification / Computer vision


Learning visual features for the Avatar Captcha Recognition Challenge Mohammed Korayem∗‡ , Abdallah A. Mohamed†§ , David Crandall∗ , Roman V. Yampolskiy† ∗ School of Informatics and Computing, Indiana Univer
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Document Date: 2014-08-03 00:38:05

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City

Fayoum / Louisville / Nottingham / /

Company

Google / Yahoo / /

Country

Egypt / /

/

Facility

University Bloomington / Computer Science Fayoum University / The University of Waikato / J. Hall / Engineering University of Louisville / M. Hall / /

IndustryTerm

classification algorithm / automated algorithms / free e-mail services / computer vision algorithms / artificial intelligence algorithms / vision algorithms / data mining software / classification algorithms / Online systems / feature selection algorithms / learning algorithms / /

Organization

School of Informatics and Computing / University of Waikato / University of Louisville / Louisville / Computer Science Fayoum University / Department of Mathematics Menoufia / Indiana University / Speed School / /

Person

C. Lin / K. Chang / Roman V. Yampolskiy / X. Wang / C. Hsieh / David Crandall / Abdallah A. Mohamed / /

Product

avatar / /

ProvinceOrState

Kentucky / /

PublishedMedium

Communications of the ACM / The Journal of Machine Learning Research / /

Technology

OCR / computer vision algorithms / artificial intelligence / Information Technology / OCR technology / artificial intelligence algorithms / classification algorithms / data mining / Optical Character Recognition / machine learning / vision algorithms / Animation / classification algorithm / feature selection algorithms / automated algorithm / /

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