17 search results - page 1 / 4 » Optical character recognition errors and their effects on na... |
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
EMNLP
2010
13 years 2 months ago
2010
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
JMLR
2012
11 years 7 months ago
2012
We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
NLPRS
2001
Springer
13 years 9 months ago
2001
Springer
We present a syllable bigram model for segmenting a Korean sentence into words and correcting word-spacing errors in the spelling checker. We evaluated the system’s performance ...