Institution
Carnegie Mellon University
Education•Pittsburgh, Pennsylvania, United States•
About: Carnegie Mellon University is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Computer science & Robot. The organization has 36317 authors who have published 104359 publications receiving 5975734 citations. The organization is also known as: CMU & Carnegie Mellon.
Papers published on a yearly basis
Papers
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TL;DR: This research explored whether human effort can be channeled into a useful purpose: helping to digitize old printed material by asking users to decipher scanned words from books that computerized optical character recognition failed to recognize.
Abstract: CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) are widespread security measures on the World Wide Web that prevent automated programs from abusing online services. They do so by asking humans to perform a task that computers cannot yet perform, such as deciphering distorted characters. Our research explored whether such human effort can be channeled into a useful purpose: helping to digitize old printed material by asking users to decipher scanned words from books that computerized optical character recognition failed to recognize. We showed that this method can transcribe text with a word accuracy exceeding 99%, matching the guarantee of professional human transcribers. Our apparatus is deployed in more than 40,000 Web sites and has transcribed over 440 million words.
1,155 citations
TL;DR: Data generated as a side effect of game play also solves computational problems and trains AI algorithms.
Abstract: Data generated as a side effect of game play also solves computational problems and trains AI algorithms
1,154 citations
TL;DR: Long-term experiments demonstrated that these quantum dots remain fluorescent after at least four months in vivo, using only quantum dots for detection.
1,153 citations
TL;DR: This article found that low-spans readers comprehended object relative sentences very poorly, although their reading times in the critical area of these sentences were greater than those of high-span readers.
1,152 citations
TL;DR: This paper showed that both the determinants of visceral factors and their impact on behavior are not only systematic, but also amenable to formal modeling, and that both determinants and their effects on behavior can be found in the literature.
Abstract: Economists have not explicitly denied the existence and significance of visceral factors but have traditionally left them out of their analyses, whether because their influence is perceived as transient and hence unimportant, or because they are seen as too unpredictable and complex to be amenable to formal modeling. An attempt is made to show that both of these assumptions are false. Visceral factors have important, but often underappreciated, consequences for behavior. Moreover, both the determinants of visceral factors and their impact on behavior are not only systematic, but amenable to formal modeling.
1,152 citations
Authors
Showing all 36645 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Yi Chen | 217 | 4342 | 293080 |
| Rakesh K. Jain | 200 | 1467 | 177727 |
| Robert C. Nichol | 187 | 851 | 162994 |
| Michael I. Jordan | 176 | 1016 | 216204 |
| Jasvinder A. Singh | 176 | 2382 | 223370 |
| J. N. Butler | 172 | 2525 | 175561 |
| P. Chang | 170 | 2154 | 151783 |
| Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
| Yang Yang | 164 | 2704 | 144071 |
| Geoffrey E. Hinton | 157 | 414 | 409047 |
| Herbert A. Simon | 157 | 745 | 194597 |
| Yongsun Kim | 156 | 2588 | 145619 |
| Terrence J. Sejnowski | 155 | 845 | 117382 |
| John B. Goodenough | 151 | 1064 | 113741 |
| Scott Shenker | 150 | 454 | 118017 |