Abstract: This paper proposes a new corrective learning algorithm and evaluates the performance by a handwritten numeral recognition test.
This paper proposes a new corrective learning algo- rithm and evaluates the performance by handwritten nu- meral recognition test. The algorithm generates a ...
Abstract: This paper proposes a new corrective learning algorithm and evaluates the performance by handwritten numeral recognition test.
This paper proposes a new corrective learning algorithm and evaluates the performance by handwritten numeral recognition test. The algorithm generates a ...
Accuracy Improvement of Handwritten Numeral Recognition by Mirror ...
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Abstract: This paper proposes a new corrective learning algorithm and evaluates the performance by handwritten numeral recognition test.
Jul 26, 2001 · This paper proposes a new corrective learning algorithm and evaluates the performance by handwritten numeral recognition test.
Recognition accuracies of the minimum distance classifier and the projection distance method were improved from 93.17% to 98.38% and from 99.11% to 99.37% ...
We aim to improve the accuracy of handwritten Chi- nese character recognition using two advanced techniques: discriminative feature extraction (DFE) and ...
Accuracy improvement of handwritten numeral recognition by mirror image learning · Computer Science. Proceedings of Sixth International Conference on… · 2001.
Oct 18, 2024 · Results demonstrated a significant improvement in recognition accuracy compared to traditional CNN-only models, particularly in handling complex ...