http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1918 This is a supplemental blog for a course which will cover how the social, technological, and natural worlds are connected, and how the study of networks sheds light on these connections. Fri, 08 Mar 2013 14:27:23 +0000 http://wordpress.org/?v=2.3.3 http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1918#comment-1294 Cornell Info 204 Digest » Blog Archive » Privacy, Multimedia Search, and Neural Networks Thu, 15 Mar 2007 22:15:08 +0000 http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1918#comment-1294 [...] Another post by sithswine182 touched on the topic of multimedia search (e.g., searching for pictures or videos). One way to make advancements in this area is to use pre-labeled data (such as images annotated with keywords) to detect statistically meaningful features to feed back into the ranking algorithms. Unfortunately, our collection of annotated multimedia data is very noisy. To address this deficiency, Google developed its Image Labeler site. This site is played like a game where you and another anonymous user try to annotate a random image with as many keywords as possible. All keywords submitted by both you and your partner are scored. As an incentive, Google keeps track of the top scoring users and user pairs. [...] […] Another post by sithswine182 touched on the topic of multimedia search (e.g., searching for pictures or videos). One way to make advancements in this area is to use pre-labeled data (such as images annotated with keywords) to detect statistically meaningful features to feed back into the ranking algorithms. Unfortunately, our collection of annotated multimedia data is very noisy. To address this deficiency, Google developed its Image Labeler site. This site is played like a game where you and another anonymous user try to annotate a random image with as many keywords as possible. All keywords submitted by both you and your partner are scored. As an incentive, Google keeps track of the top scoring users and user pairs. […]

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