Combining neural gas and learning vector quantization for cursive character recognition-Reference-Cited by-同舟云学术

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Combining neural gas and learning vector quantization for cursive character recognition

Published:2003-04 Issue: Volume:51 Page:147-159
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Camastra Francesco,Vinciarelli Alessandro

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference18 articles.

1. Adaptive Control Processes: A Guided Tour;Bellman,1961

2. Applied Dynamic Programming;Bellman,1962

3. Off-line cursive script word recognition;Bozinovic;IEEE Trans. Pattern Anal. Mach. Intell.,1989

4. Cursive character recognition by Learning Vector Quantization;Camastra;Pattern Recognition Lett.,2001

5. Reading cursive handwriting by alignment of letter prototypes;Edelman;Int. J. Comput. Vision,1990

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel feature extraction technique for the recognition of handwritten digits;Applied Computing and Informatics;2017-01

2. A holistic approach for Off-line handwritten cursive word recognition using directional feature based on Arnold transform;Pattern Recognition Letters;2016-08

3. 3D model reconstruction using neural gas accelerated on GPU;Applied Soft Computing;2015-07

4. Dimensionality Reduction Based Similarity Visualization for Neural Gas;2014 IEEE International Conference on Data Mining Workshop;2014-12

5. Annotated comparisons of proposed preprocessing techniques for script recognition;Neural Computing and Applications;2014-07-11

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