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Handwriting Recognition using Kernel Discriminant Analysis

, 2 Dec 2014 CPOL
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the optical recognition of handwritten digits data set from the UCI Machine Learning Repository.

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Compare Revision Minor Date Status Editor
22 - publicly available No 2-Dec-14 4:24 Available César de Souza
The project site has changed. Removing broken links and adding new ones to the new pages and repositories.
21 No 20-Sep-12 6:11 Available César de Souza
Adjustments for the new codeproject style, correcting links
20 No 25-Oct-10 23:03 Available Sean Ewington
19 No 18-Sep-10 1:32 Composing Smitha Nishant
18 No 17-Sep-10 5:56 Composing Smitha Nishant
17 No 17-Sep-10 5:53 Composing Smitha Nishant
16 No 6-Sep-10 23:42 Composing César de Souza
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2 No 20-Apr-10 8:41 Composing César de Souza
1 No 20-Apr-10 8:36 Composing César de Souza

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

César de Souza
Engineer Xerox Research Center Europe
Brazil Brazil
Computer and technology enthusiast, interested in artificial intelligence and image processing. Has a Master's degree on Computer Science specialized on Image and Signal Processing, with expertise on Machine Learning, Computer Vision, Pattern Recognition and Data Mining systems. Author of the Accord.NET Framework for developing scientific computing applications.

If you would like to hire good developers to build your dream application, please check out DaitanGroup, one of the top outsourcing companies in Brazil. This company, located in Brazil's Sillicon Valley but with US-based offices, has huge experience developing telecommunications software for large and small companies worldwide.

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