Pattern Recognition with Eye Movement: A Neural Network Model

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Masayuki Kikuchi, Kunihiko Fukushima, "Pattern Recognition with Eye Movement: A Neural Network Model," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 2, pp. 2037, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.857871, author = {Masayuki Kikuchi and Kunihiko Fukushima}, title = {Pattern Recognition with Eye Movement: A Neural Network Model}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {2}, year = {2000}, issn = {1098-7576}, pages = {2037}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857871}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Pattern Recognition with Eye Movement: A Neural Network Model SN - 1098-7576 SP EP A1 - Masayuki Kikuchi, A1 - Kunihiko Fukushima, PY - 2000 VL - 2 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Masayuki Kikuchi, University of Tsukuba

Kunihiko Fukushima, University of Electro-Communications,

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857871

We offer a neural network model which has the ability of sift, scale, and deformation-invariant pattern recognition. The model extracts spatial relations between fixating feature and each of peripheral features. The mechanism of saccadic eye movement enables the model to analyze whole pattern-structure. The ability of the model has been tested on a computer.

Citation:

Masayuki Kikuchi, Kunihiko Fukushima, "Pattern Recognition with Eye Movement: A Neural Network Model," ijcnn, vol. 2, pp.2037, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000

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