Andrew R. Webb

According to our database, Andrew R. Webb authored at least 14 papers between 1990 and 2003.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2003

Projection techniques for nonlinear principal component analysis.

Richard J. Bolton, David J. Hand, Andrew R. Webb

Stat. Comput., 2003

Using graphs for statistical object models.

R. L. Lee, Alan D. Marrs, Andrew R. Webb, H. Webber

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Statistical Pattern Recognition, Second Edition

Andrew R. Webb

Wiley, ISBN: 978-0-47085477-8, 2002

2000

Gamma mixture models for target recognition.

Andrew R. Webb

Pattern Recognit., 2000

1999

A loss function approach to model selection in nonlinear principal components.

Andrew R. Webb

Neural Networks, 1999

1998

Shape-adaptive radial basis functions.

Andrew R. Webb, Simon Shannon

IEEE Trans. Neural Networks, 1998

Exploratory Data Analysis Using Radial Basis Function Latent Variable Models.

Alan D. Marrs, Andrew R. Webb

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1996

An approach to non-linear principal components analysis using radially symmetric kernel functions.

Andrew R. Webb

Stat. Comput., 1996

Adaptive radial basis functions.

Andrew R. Webb, Simon Shannon

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Source position estimation using radial basis functions.

Andrew R. Webb, Philip N. Garner

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure.

Andrew R. Webb

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Multidimensional scaling by iterative majorization using radial basis functions.

Andrew R. Webb

Pattern Recognit., 1995

1994

Functional approximation by feed-forward networks: a least-squares approach to generalization.

Andrew R. Webb

IEEE Trans. Neural Networks, 1994

1990

The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis.

Andrew R. Webb, David Lowe

Neural Networks, 1990