Image Transformation with Cellularly Connected Evolutionary Neural Networks-Reference-Cited by-同舟云学术

Image Transformation with Cellularly Connected Evolutionary Neural Networks

Published:2012 Issue:3 Volume:132 Page:430-438
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Otsuka Junji¹,Yata Noriko²,Nagao Tomoharu¹

Affiliation:

1. Graduate School of Environment and Information Sciences, Yokohama National University

2. Graduate School of Advanced Integration Science, Chiba University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/132/3/132_3_430/_pdf

Reference28 articles.

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2. (2) S. Shirakawa, S. Ogino, and T. Nagao: “Automatic Construction of Image Transformation Using Genetic Image Network”, IPSJ, TOM19, Vol. 48, No. SIG 19, pp. 117-126 (2007) (in Japanese)

3. (3) S. Shirakawa and T. Nagao: “Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm”, Advances in Visual Computing: Proceedings of the 3rd International Symposium on Visual Computing (ISVC '07) Part II, Vol. 4842 of LNCS, pp. 287-297, Lake Tahoe, Nevada, USA, 26-28 (2007-11)

4. (4) H. Hanek and N. Ansari: “Speeding up the generalized adaptive neural filters”, IEEE Trans. Image Processing, Vol. 5, No. 5, pp. 705-712 (1996)

5. (5) Z. Z. Zhang and N. Ansari: “Structure and properties of generalized adaptive neural filter for signal enhancement”, IEEE Trans. Neural Networks, Vol. 7, No. 4, pp. 857-868 (1996)

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