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ICDAR
2009
IEEE
13 years 5 months ago
FHT: An Unconstraint Farsi Handwritten Text Database
Standard databases play very important roles in pattern recognition tasks. To compare the performances of different algorithms, they must be tested on a same dataset. In Farsi, th...
Majid Ziaratban, Karim Faez, Fatemeh Bagheri
ICDAR
2003
IEEE
14 years 28 days ago
Mirror Image Learning for Autoassociative Neural Networks
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
Shusaku Shimizu, Wataru Ohyama, Tetsushi Wakabayas...
AND
2009
13 years 5 months ago
A comprehensive evaluation methodology for noisy historical document recognition techniques
In this paper, we propose a new comprehensive methodology in order to evaluate the performance of noisy historical document recognition techniques. We aim to evaluate not only the...
Nikolaos Stamatopoulos, Georgios Louloudis, Basili...
NIPS
1994
13 years 9 months ago
Recognizing Handwritten Digits Using Mixtures of Linear Models
We construct a mixture of locally linear generative models of a collection of pixel-based images of digits, and use them for recognition. Different models of a given digit are use...
Geoffrey E. Hinton, Michael Revow, Peter Dayan
IJCAI
2003
13 years 9 months ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is col­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork