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» Adaptive Radial Basis Function Detector for Beamforming
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MVA
2000
172views Computer Vision» more  MVA 2000»
13 years 10 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
CGF
2006
120views more  CGF 2006»
13 years 8 months ago
Enhancing the Interactive Visualization of Procedurally Encoded Multifield Data with Ellipsoidal Basis Functions
Functional approximation of scattered data is a popular technique for compactly representing various types of datasets in computer graphics, including surface, volume, and vector ...
Yun Jang, Ralf P. Botchen, Andreas Lauser, David S...
ENVSOFT
2008
115views more  ENVSOFT 2008»
13 years 8 months ago
Adaptive fuzzy modeling versus artificial neural networks
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
Ralf Wieland, Wilfried Mirschel
JCP
2008
138views more  JCP 2008»
13 years 8 months ago
Radar Signal Detection In Non-Gaussian Noise Using RBF Neural Network
In this paper, we suggest a neural network signal detector using radial basis function (RBF) network. We employ this RBF Neural detector to detect the presence or absence of a know...
Dilip Gopichand Khairnar, S. N. Merchant, Uday B. ...
ICTAI
2002
IEEE
14 years 1 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen