Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification von Baofeng Guo, Gunn, S.R., Damper, R.I., Nelson, J.D.B.

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Band Selection for Hyperspectral Image Classification Using Mutual Information von Baofeng Guo, Gunn, S.R., Damper, R.I., Nelson, J.D.B.

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Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares von Dhanjal, C., Gunn, S.R., Shawe-Taylor, J.

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Linear spectral mixture models and support vector machines for remote sensing von Brown, M., Lewis, H.G., Gunn, S.R.

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Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry von Acharyya, A., Maharatna, K., Al-Hashimi, B.M., Gunn, S.R.

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A Probabilistic Framework for SVM Regression and Error Bar Estimation von Gao, Jb, Gunn, Sr, Harris, Cj, Brown, M

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Handwritten Chinese radical recognition using nonlinear active shape models von Shi, D., Gunn, S.R., Damper, R.I.

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Structural Modelling with Sparse Kernels von Gunn, Sr, Kandola, Js

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Abstract P6-04-08: Microarray Characterization of 24 Cases of Pure Mucinous Carcinoma of the Breast von Sanchez-Salazar, AJ, Gunn, SR, Yeh, I-T.

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Support vector machines for optimal classification and spectral unmixing von Brown, Martin, Gunn, Steve R., Lewis, Hugh G.

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Mean field method for the support vector machine regression von Gao, J.B., Gunn, S.R., Harris, C.J.

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SVM regression through variational methods and its sequential implementation von Gao, J.B., Gunn, S.R., Harris, C.J.

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Molecular characterization of a patient with central nervous system dysmyelination and cryptic unbalanced translocation between chromosomes 4q and 18q von Gunn, Shelly R., Mohammed, Mansoor, Reveles, Xavier T., Viskochil, David H., Palumbos, Janice C., Johnson‐Pais, Teresa L., Hale, Daniel E., Lancaster, Jack L., Hardies, L. Jean, Boespflug‐Tanguy, Odile, Cody, Jannine D., Leach, Robin J.

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Toward omnidirectional and automated imaging system for measuring oceanic whitecap coverage von Al-Lashi, RS, Webster, M, Gunn, SR, Czerski, H

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A Novel High-Resolution Optical Instrument for Imaging Oceanic Bubbles von Al-Lashi, RS, Gunn, SR, Webb, EG, Czerski, H

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Automated Processing of Oceanic Bubble Images for measuring Bubble Size Distributions underneath Breaking Waves von Al-Lashi, RS, Gunn, SR, Czerski, H

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Improving hyperspectral band selection by constructing an estimated reference map von Guo, B, Damper, RI, Gunn, SR, Nelson, JDB

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Adaptive sampling in context-aware systems: a machine learning approach von Wood, A.L, Merrett, G.V, Gunn, S.R, Al-Hashimi, B.M, Shadbolt, N.R, Hall, W

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Cooperative Information Sharing to Improve Distributed Learning von Dutta, PS, Dasmahapatra, S, Gunn, SR, Jennings, NR, Moreau, L

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Improved apparatus for intercepting and automatically rejecting contaminated rainwater von John Sr. Clair Gunn

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