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ORCIDAndrew R. Webb
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2000 – 2009
- 2003
[j8]Richard J. Bolton, David J. Hand
, Andrew R. Webb:
Projection techniques for nonlinear principal component analysis. Stat. Comput. 13(3): 267-276 (2003)- [c5]R. L. Lee, Alan D. Marrs, Andrew R. Webb, H. Webber:
Using graphs for statistical object models. ICIP (1) 2003: 273-276 - 2002
- [b1]Andrew R. Webb:
Statistical Pattern Recognition, Second Edition. Wiley 2002, ISBN 978-0-47084513-4, pp. 1-496 - 2000
- [j7]Andrew R. Webb:
Gamma mixture models for target recognition. Pattern Recognit. 33(12): 2045-2054 (2000)
1990 – 1999
- 1999
- [j6]Andrew R. Webb:
A loss function approach to model selection in nonlinear principal components. Neural Networks 12(2): 339-345 (1999) - 1998
- [j5]Andrew R. Webb, Simon Shannon:
Shape-adaptive radial basis functions. IEEE Trans. Neural Networks 9(6): 1155-1166 (1998) - [c4]Alan D. Marrs, Andrew R. Webb:
Exploratory Data Analysis Using Radial Basis Function Latent Variable Models. NIPS 1998: 529-535 - 1996
- [j4]Andrew R. Webb:
An approach to non-linear principal components analysis using radially symmetric kernel functions. Stat. Comput. 6(2): 159-168 (1996) - [c3]Andrew R. Webb, Philip N. Garner:
Source position estimation using radial basis functions. ICPR 1996: 3-7 - [c2]Andrew R. Webb, Simon Shannon:
Adaptive radial basis functions. ICPR 1996: 630-634 - [c1]Andrew R. Webb:
Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure. ICPR 1996: 635-639 - 1995
- [j3]Andrew R. Webb:
Multidimensional scaling by iterative majorization using radial basis functions. Pattern Recognit. 28(5): 753-759 (1995) - 1994
- [j2]Andrew R. Webb:
Functional approximation by feed-forward networks: a least-squares approach to generalization. IEEE Trans. Neural Networks 5(3): 363-371 (1994) - 1990
- [j1]Andrew R. Webb, David Lowe:
The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis. Neural Networks 3(4): 367-375 (1990)
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