Description: The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input sample. Which contains Kn neighbor algorithm, Bayesian parameter estimation is achieved. Realize the open test, close test and other testing methods.
- [EM] - C achieve expectations maximize algorith
- [VCDigitalimageprocexing] - digital image acquisition, processing an
- [classifier] - a very good text classifiers using Bayes
- [HWR] - Handwriting recognition the new procedur
- [aaa] - The realization of three categories rang
- [f] - When the pre-recognition software does n
- [bayesian1] - Data mining association rules Bayesian a
- [xhjc] - University of Electronic Science and Tec
File list (Check if you may need any files):
minipro
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