IEICE TRANSACTIONS on Information
Global and Local Feature Extraction by Natural Elastic Nets
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.9 pp.2267-2271
- Publication Date
- 2004/09/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Pattern Recognition
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Keyword
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Jiann-Ming WU, Zheng-Han LIN, "Global and Local Feature Extraction by Natural Elastic Nets" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 9, pp. 2267-2271, September 2004, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_9_2267/_p
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@ARTICLE{e87-d_9_2267,
author={Jiann-Ming WU, Zheng-Han LIN, },
journal={IEICE TRANSACTIONS on Information},
title={Global and Local Feature Extraction by Natural Elastic Nets},
year={2004},
volume={E87-D},
number={9},
pages={2267-2271},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - Global and Local Feature Extraction by Natural Elastic Nets
T2 - IEICE TRANSACTIONS on Information
SP - 2267
EP - 2271
AU - Jiann-Ming WU
AU - Zheng-Han LIN
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2004
AB - 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.
ER -
English
