Combining multiple neural nets for visual feature selection and classification

Heidemann G, Ritter H (1999)
In: ICANN 99. Ninth International Conference on Artificial Neural Networks. 1. IET: 365-370.

Conference Paper | Published | English

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Abstract
We present a system for object recognition in real images employing three different types of neural networks which accomplish feature extraction and classification. The main advantages of the method are its portability to different object domains without extensive parameter adjustments or changes in the feature extraction, and the low computational effort. This is achieved using a combination of the vector quantization, principal component analysis and a network for nonlinear classification tasks.
Publishing Year
Conference
Ninth International Conference on Artificial Neural Networks
Location
Edinburgh
Conference Date
1999-09-07 – 1999-09-10
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Heidemann G, Ritter H. Combining multiple neural nets for visual feature selection and classification. In: ICANN 99. Ninth International Conference on Artificial Neural Networks. Vol 1. IET; 1999: 365-370.
Heidemann, G., & Ritter, H. (1999). Combining multiple neural nets for visual feature selection and classification. ICANN 99. Ninth International Conference on Artificial Neural Networks, 1(470), 365-370.
Heidemann, G., and Ritter, H. (1999). “Combining multiple neural nets for visual feature selection and classification” in ICANN 99. Ninth International Conference on Artificial Neural Networks, vol. 1, (IET), 365-370.
Heidemann, G., & Ritter, H., 1999. Combining multiple neural nets for visual feature selection and classification. In ICANN 99. Ninth International Conference on Artificial Neural Networks. no.1 IET, pp. 365-370.
G. Heidemann and H. Ritter, “Combining multiple neural nets for visual feature selection and classification”, ICANN 99. Ninth International Conference on Artificial Neural Networks, vol. 1, IET, 1999, pp.365-370.
Heidemann, G., Ritter, H.: Combining multiple neural nets for visual feature selection and classification. ICANN 99. Ninth International Conference on Artificial Neural Networks. 1, p. 365-370. IET (1999).
Heidemann, Gunther, and Ritter, Helge. “Combining multiple neural nets for visual feature selection and classification”. ICANN 99. Ninth International Conference on Artificial Neural Networks. IET, 1999.Vol. 1. 365-370.
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