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» Function Approximation Using Robust Wavelet Neural Networks
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ICPR
2002
IEEE
14 years 8 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...
ENGL
2007
133views more  ENGL 2007»
13 years 7 months ago
Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding
— In this paper, we propose a novel wavelet-based-CMAC (WCMAC) network for predictive image coding. The Gaussian functions of traditional CMAC are replaced by wavelet functions. ...
Ching-Hung Lee, Bo-Hang Wang
ISBI
2008
IEEE
14 years 8 months ago
On approximation of orientation distributions by means of spherical ridgelets
Visualization and analysis of the micro-architecture of brain parenchyma by means of magnetic resonance imaging is nowadays believed to be one of the most powerful tools used for ...
Oleg V. Michailovich, Yogesh Rathi
ICANN
2003
Springer
14 years 25 days ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes