The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis. - Andrew R. Webb; David Lowe (Neural Networks, 1990)

Functional approximation by feed-forward networks: a least-squares approach to generalization. - Andrew R. Webb (IEEE Trans. Neural Networks, 1994)

Multidimensional scaling by iterative majorization using radial basis functions. - Andrew R. Webb (Pattern Recognit., 1995)

Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure. - Andrew R. Webb (ICPR, 1996)

Source position estimation using radial basis functions. - Andrew R. Webb; Philip N. Garner (ICPR, 1996)

Adaptive radial basis functions. - Andrew R. Webb; Simon Shannon (ICPR, 1996)

An approach to non-linear principal components analysis using radially symmetric kernel functions. - Andrew R. Webb (Stat. Comput., 1996)

Exploratory Data Analysis Using Radial Basis Function Latent Variable Models. - Alan D. Marrs; Andrew R. Webb (NIPS, 1998)

Shape-adaptive radial basis functions. - Andrew R. Webb; Simon Shannon (IEEE Trans. Neural Networks, 1998)

A loss function approach to model selection in nonlinear principal components. - Andrew R. Webb (Neural Networks, 1999)

Gamma mixture models for target recognition. - Andrew R. Webb (Pattern Recognit., 2000)

Statistical Pattern Recognition, Second Edition - Andrew R. Webb (Wiley, 2002)

Using graphs for statistical object models. - R. L. Lee; Alan D. Marrs; Andrew R. Webb; H. Webber (ICIP (1), 2003)

Projection techniques for nonlinear principal component analysis. - Richard J. Bolton; David J. Hand; Andrew R. Webb (Stat. Comput., 2003)