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Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification

IEEE transactions on image processing, 2008-04, Vol.17 (4), p.622-629

2008

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Band Selection for Hyperspectral Image Classification Using Mutual Information

IEEE geoscience and remote sensing letters, 2006-10, Vol.3 (4), p.522-526

2006

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Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares

IEEE transactions on pattern analysis and machine intelligence, 2009-08, Vol.31 (8), p.1347-1361

2009

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Linear spectral mixture models and support vector machines for remote sensing

IEEE transactions on geoscience and remote sensing, 2000-09, Vol.38 (5), p.2346-2360

2000

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Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry

IEEE transactions on circuits and systems. II, Express briefs, 2009-04, Vol.56 (4), p.285-289

2009

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Handwritten Chinese radical recognition using nonlinear active shape models

IEEE transactions on pattern analysis and machine intelligence, 2003-02, Vol.25 (2), p.277-280

2003

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The relevance vector machine technique for channel equalization application

IEEE transaction on neural networks and learning systems, 2001-11, Vol.12 (6), p.1529-1532

2001

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Errata to "The relevance vector machine technique for channel equalization application"

IEEE transaction on neural networks and learning systems, 2002-07, Vol.13 (4), p.1024-1024

2002

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A robust snake implementation; a dual active contour

IEEE transactions on pattern analysis and machine intelligence, 1997-01, Vol.19 (1), p.63-68

1997

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Atypical 11q deletions identified by array CGH may be missed by FISH panels for prognostic markers in chronic lymphocytic leukemia

Leukemia, 2009-05, Vol.23 (5), p.1011-1017

2009

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Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels

Neurocomputing (Amsterdam), 2008-12, Vol.72 (1), p.15-22

2008

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Mean field method for the support vector machine regression

Neurocomputing (Amsterdam), 2003, Vol.50, p.391-405

2003

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SVM regression through variational methods and its sequential implementation

Neurocomputing (Amsterdam), 2003-09, Vol.55 (1), p.151-167

2003

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Modelling of microstructural effects in the fatigue of austempered ductile iron

Materials science & engineering. A, Structural materials : properties, microstructure and processing, 2003-04, Vol.346 (1), p.273-286

2003

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Sparse Feature Extraction using Generalised Partial Least Squares

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, 2006, p.27-32

2006

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Signal Theory for SVM Kernel Parameter Estimation

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, 2006, p.149-154

2006

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A radical approach to handwritten Chinese character recognition using active handwriting models

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001, Vol.1, p.I-I

2001

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Dual active contour models for image feature extraction

Gunn, S.R

1996

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Adaptive Numerical Modelling of Commercial Aluminium Plate Performance

Materials science forum, 2000-05, Vol.331-337 (1), p.533-538

2000

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Neurofuzzy and SUPANOVA Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys

Materials science forum, 2000-01, Vol.331-337, p.1255-1260

2000

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Snake head boundary extraction using global and local energy minimisation

Proceedings of 13th International Conference on Pattern Recognition, 1996, Vol.2, p.581-585 vol.2

1996

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Adaptive sampling in context-aware systems: a machine learning approach

IET Conference Proceedings, 2012, p.8A1

2012

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Edge detection error in the discrete Laplacian of Gaussian

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 1998, Vol.2, p.515-519 vol.2

Gunn, S.R.

1998

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SUPANOVA: a sparse, transparent modelling approach

Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468), 1999, p.21-30

1999

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Considerations on extended feature vectors in automatic face recognition

1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 1997, Vol.5, p.4075-4080 vol.5

1997

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Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification

Band Selection for Hyperspectral Image Classification Using Mutual Information

Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares

Linear spectral mixture models and support vector machines for remote sensing

Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry

Handwritten Chinese radical recognition using nonlinear active shape models

The relevance vector machine technique for channel equalization application

Errata to "The relevance vector machine technique for channel equalization application"

A robust snake implementation; a dual active contour

Atypical 11q deletions identified by array CGH may be missed by FISH panels for prognostic markers in chronic lymphocytic leukemia

Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels

Mean field method for the support vector machine regression

SVM regression through variational methods and its sequential implementation

Modelling of microstructural effects in the fatigue of austempered ductile iron

Sparse Feature Extraction using Generalised Partial Least Squares

Signal Theory for SVM Kernel Parameter Estimation

A radical approach to handwritten Chinese character recognition using active handwriting models

Dual active contour models for image feature extraction

Adaptive Numerical Modelling of Commercial Aluminium Plate Performance

Neurofuzzy and SUPANOVA Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys

Snake head boundary extraction using global and local energy minimisation

Adaptive sampling in context-aware systems: a machine learning approach

Edge detection error in the discrete Laplacian of Gaussian

SUPANOVA: a sparse, transparent modelling approach

Considerations on extended feature vectors in automatic face recognition

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