Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Smita Vemulapalli"'
Autor:
Monson H. Hayes, Smita Vemulapalli
Publikováno v:
Integrated Computer-Aided Engineering. 21:219-234
Recognizing handwritten equations is a challenging problem, and even more so when they are written in a classroom environment. However, since videos of the handwritten text and the accompanying audio refer to the same content, a combination of video
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b05af76818636b291078965bc8b37c9b
https://doi.org/10.3233/ica-140460
https://doi.org/10.3233/ica-140460
Autor:
Monson H. Hayes, Smita Vemulapalli
Publikováno v:
ISDA
Recognizing handwritten mathematical content is a challenging problem, and more so when such content appears in classroom videos. However, given the fact that in such videos the handwritten text and the accompanying audio refer to the same content, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3cd3cca33e43821766928c5cab077e6
https://doi.org/10.1109/isda.2011.6121779
https://doi.org/10.1109/isda.2011.6121779
Autor:
Smita Vemulapalli, Monson H. Hayes
Publikováno v:
Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing.
Recognizing handwritten mathematical content in classroom videos poses a range of interesting challenges. In this paper, we focus on improving the character recognition accuracy in such videos using a combination of video and audio based text recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a9cfcb926d9ecd0129b68d29edb2f20
https://doi.org/10.1109/pacrim.2011.6032992
https://doi.org/10.1109/pacrim.2011.6032992
Autor:
Smita Vemulapalli, Monson H. Hayes
Publikováno v:
DSP
In classroom videos, recognizing mathematical content, handwritten on the whiteboard presents a unique opportunity in the form of audio content spoken by the instructor. This recognized audio content can be used to improve the character recognition a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a613507bb461fba9c0a629a0521848a6
https://doi.org/10.1109/icdsp.2011.6004896
https://doi.org/10.1109/icdsp.2011.6004896
Publikováno v:
HLT-NAACL (Student Research Workshop and Doctoral Consortium)
This paper examines the applicability of classifier combination approaches such as bagging and boosting for coreference resolution. To the best of our knowledge, this is the first effort that utilizes such techniques for coreference resolution. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d2a7323b87ea89b790e465d247d11d
https://doi.org/10.3115/1620932.1620933
https://doi.org/10.3115/1620932.1620933