S.R. Gunn - Concepedia

Author

S.R. Gunn

University of Southampton

Also Known As

S R Gunn, S. R. Gunn, S. Richard Gunn, S.R Gunn, S.R. Gunn, Steve R. Gunn, Steven R. Gunn

Publications

6.1K

Citations

H-Index

Concepts

All Affiliations

University of Southampton University of New England Unilever (United Kingdom)

About

S.R. Gunn is an author at University of Southampton specializing in engineering, pattern recognition, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	18	1.2K
2	Computer Engineering	5	5	341
3	Natural Sciences	3	3	245
4	Management	1	1	23
5	Biostatistics	1	1	25

S.R. Gunn

Publications

4.3K

Citations

H-Index

Page 1

	Year	Citations
Support Vector Machines for Classification and Regression S.R. Gunn	1998	2.8K
Band Selection for Hyperspectral Image Classification Using Mutual Information Bin Guo, S.R. Gunn, R.I. Damper, IEEE Geoscience and Remote Sensing Letters Image AnalysisMachine LearningData ScienceData MiningPattern Recognition	2006	383
Linear spectral mixture models and support vector machines for remote sensing Martin Brown, Hugh G. Lewis, S.R. Gunn IEEE Transactions on Geoscience and Remote Sensing EngineeringMachine LearningMulti-image FusionLinear SvmSupport Vector Machine	2000	206
A robust snake implementation; a dual active contour S.R. Gunn, Mark Nixon IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringField RoboticsShape AnalysisComputer-aided DesignVolume Parameterization	1997	199
A Probabilistic Framework for SVM Regression and Error Bar Estimation Junbin Gao, S.R. Gunn, C.J. Harris, Machine Learning	2002	133
Structural Modelling with Sparse Kernels S.R. Gunn, Jasvinder S. Kandola Machine Learning	2002	89
Handwritten Chinese radical recognition using nonlinear active shape models Daming Shi, S.R. Gunn, R.I. Damper IEEE Transactions on Pattern Analysis and Machine Intelligence Machine VisionImage AnalysisEngineeringOptical Character RecognitionPattern Recognition	2003	63
The relevance vector machine technique for channel equalization application Sheng Chen, S.R. Gunn, C.J. Harris IEEE Transactions on Neural Networks Relevance Vector MachineSupport Vector MachineEngineeringMachine LearningData Science	2001	62
Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares Charanpal Dhanjal, S.R. Gunn, John Shawe‐Taylor IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringMachine LearningBiometricsFeature ExtractionPartial Least Squares	2009	57
Edge detection error in the discrete Laplacian of Gaussian S.R. Gunn Numerical AnalysisSpectral TheoryMachine VisionImage AnalysisEngineering	2002	35

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