Global and Local Feature Extraction by Natural Elastic Nets(Pattern Recognition)

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概要

• 論文の詳細を見る

• This work explores generative models of handwritten digit images using natural elastic nets. The analysis aims to extract global features as well as distributed local features of handwritten digits. These features are expected to form a basis that is significant for discriminant analysis of handwritten digits and related analysis of character images or natural images.

• 社団法人電子情報通信学会の論文
• 2004-09-01

著者

• Lin Z‐h

  Department Of Applied Mathematics National Donghwa University

• WU Jiann-Ming

  Department of Applied Mathematics, National Donghwa University

• LIN Zheng-Han

  Department of Applied Mathematics, National Donghwa University

• Wu J‐m

  Department Of Applied Mathematics National Donghwa University

• Wu Jiann-ming

  Department Of Applied Mathematics National Donghwa University

• Lin Zheng-han

  Department Of Applied Mathematics National Donghwa University

関連論文

• Global and Local Feature Extraction by Natural Elastic Nets(Pattern Recognition)
• Learning generative models of natural images

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