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» Accelerating Large Character Set Recognition using Pivots
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ICDAR
2003
IEEE
13 years 10 months ago
Accelerating Large Character Set Recognition using Pivots
This paper proposes a method to accelerate character recognition of a large character set by employing pivots into the search space. We divide the feature space of character categ...
Yiping Yang, Ondrej Velek, Masaki Nakagawa
ICPR
2006
IEEE
14 years 6 months ago
High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction
We aim to improve the accuracy of handwritten Chinese character recognition using two advanced techniques: discriminative feature extraction (DFE) and discriminative learning quad...
Cheng-Lin Liu
PR
2008
202views more  PR 2008»
13 years 3 months ago
Building compact MQDF classifier for large character set recognition by subspace distribution sharing
Quadratic classifier with modified quadratic discriminant function (MQDF) has been successfully applied to recognition of handwritten characters to achieve very good performance. ...
Teng Long, Lianwen Jin
ICANN
2010
Springer
13 years 6 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke