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ICDAR
2009
IEEE
15 years 4 months ago
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
Ahmad Abdulkader, Mathew R. Casey
SPEECH
2010
125views more  SPEECH 2010»
15 years 1 months ago
Automatic intonation assessment for computer aided language learning
In this paper the nature and relevance of the information provided by intonation is discussed in the framework of second language learning. As a consequence, an automatic intonati...
Juan Pablo Arias, Néstor Becerra Yoma, Hira...
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 7 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
CHI
2006
ACM
16 years 7 months ago
Pride and prejudice: learning how chronically ill people think about food
In this paper, we describe a formative study to learn how one chronically ill population thinks about food, mentally organizes food, and interprets consumption-level icons. We fou...
Katie A. Siek, Kay H. Connelly, Yvonne Rogers