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» Statistical Methods for Construction of Neural Networks
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SSIAI
2000
IEEE
14 years 1 months ago
Two-Dimensional Phase Unwrapping Using Neural Networks
Imaging systems that construct an image from phase information in received signals include synthetic aperture radar (SAR) and optical Doppler tomography (ODT) systems. A fundament...
Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh...
IEEEIAS
2009
IEEE
14 years 3 months ago
Analysis of One-way Alterable Length Hash Function Based on Cell Neural Network
: In this paper, a hash function construction method based on cell neural network (CNN) with hyper-chaos characteristics is proposed. The chaos sequence is generated by iterating C...
Qun-ting Yang, Tie-gang Gao, Li Fan, Qiao-lun Gu
KES
2008
Springer
13 years 8 months ago
Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis
In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyp...
Anas Quteishat, Chee Peng Lim
ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 8 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
ICPR
2006
IEEE
14 years 9 months ago
A Method for the Identification of Noisy Regions in Normalized Iris Images
In this paper we propose a new method for the identification of noisy regions in normalized iris images. Starting from a normalized and dimensionless iris image in the polar coord...
Hugo Proença, Luís A. Alexandre