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» Synthetic Parameters for Handwriting Classification
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ICDAR
1997
IEEE
13 years 9 months ago
Synthetic Parameters for Handwriting Classification
V. Bouletreau, Nicole Vincent, Robert Sabourin, Hu...
ICDAR
2009
IEEE
13 years 2 months ago
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...
Yongqiang Wang, Qiang Huo
ICDAR
2003
IEEE
13 years 10 months ago
A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition
An automatic recognition of online handwritten text has been an on-going research problem for nearly four decades. It has been gaining more interest due to the increasing populari...
Brijesh Verma, Moumita Ghosh
DRR
2009
13 years 2 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
ICIP
2005
IEEE
14 years 6 months ago
Perceptually optimized MPEG compression of synthetic video sequences
This paper addresses the problem of improving the quality performance of synthetic video sequences by means of standard frame? based coders. The proposed technique can exploit bot...
Enrico Masala, Davide Quaglia