On the coefficient quantization of the Fourier basis. - James D. B. Nelson (IEEE Trans. Signal Process., 2003)

Band Selection for Hyperspectral Image Classification Using Mutual Information. - Baofeng Guo; Steve R. Gunn; Robert I. Damper; James D. B. Nelson (IEEE Geosci. Remote. Sens. Lett., 2006)

Applied Multi-Dimensional Fusion. - Asher Mahmood; Philip M. Tudor; William Oxford; Robert Hansford; James D. B. Nelson; Nicholas G. Kingsbury; Antonis Katartzis; Maria Petrou; Nikolaos Mitianoudis; Tania Stathaki; Alin Achim; David R. Bull; et al. (Comput. J., 2007)

Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering. - James D. B. Nelson; Sze Kim Pang; Nick G. Kingsbury; Simon J. Godsill (FUSION, 2008)

Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. - James D. B. Nelson; Robert I. Damper; Steve R. Gunn; Baofeng Guo (Neurocomputing, 2008)

A fast separability-based feature-selection method for high-dimensional remotely sensed image classification. - Baofeng Guo; Robert I. Damper; Steve R. Gunn; James D. B. Nelson (Pattern Recognit., 2008)

Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification. - Baofeng Guo; Steve R. Gunn; Robert I. Damper; James D. B. Nelson (IEEE Trans. Image Process., 2008)

Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter. - Sze Kim Pang; James D. B. Nelson; Simon J. Godsill; Nick G. Kingsbury (EURASIP J. Adv. Signal Process., 2009)

A signal theory approach to support vector classification: The sinc kernel. - James D. B. Nelson; Robert I. Damper; Steve R. Gunn; Baofeng Guo (Neural Networks, 2009)

Dual-tree wavelets for estimation of locally varying and anisotropic fractal dimension. - James D. B. Nelson; Nick G. Kingsbury (ICIP, 2010)

Enhanced Shift and Scale Tolerance for Rotation Invariant Polar Matching With Dual-Tree Wavelets. - James D. B. Nelson; Nick G. Kingsbury (IEEE Trans. Image Process., 2011)

Multi-rate estimation of coloured noise models in graph-based estimation algorithms. - Simon J. Julier; Renzo De Nardi; James D. B. Nelson (FUSION, 2012)

Fractal dimension, wavelet shrinkage and anomaly detection for mine hunting. - James D. B. Nelson; Nick G. Kingsbury (IET Signal Process., 2012)

Fast Road Network Extraction from Remotely Sensed Images. - Vladimir A. Krylov; James D. B. Nelson (ACIVS, 2013)

Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images. - Vladimir A. Krylov; Stuart Taylor; James D. B. Nelson (ICIAR, 2013)

Fused Lasso and rotation invariant autoregressive models for texture classification. - James D. B. Nelson (Pattern Recognit. Lett., 2013)

High dimensional changepoint detection with a dynamic graphical lasso. - Alexander J. Gibberd; James D. B. Nelson (ICASSP, 2014)

Regularised, semi-local hurst estimation via generalised lasso and dual-tree complex wavelets. - Corina Nafornita; Alexandru Isar; James D. B. Nelson (ICIP, 2014)

Online joint classification and anomaly detection via sparse coding. - Alfredo A. Kalaitzis; James D. B. Nelson (MLSP, 2014)

Stochastic Extraction of Elongated Curvilinear Structures With Applications. - Vladimir A. Krylov; James D. B. Nelson (IEEE Trans. Image Process., 2014)

On the Equivalence Between a Minimal Codomain Cardinality Riesz Basis Construction, a System of Hadamard-Sylvester Operators, and a Class of Sparse, Binary Optimization Problems. - James D. B. Nelson (IEEE Trans. Signal Process., 2014)

Compressive imaging with complex wavelet transform and turbo AMP reconstruction. - Chunli Guo; James D. B. Nelson (EUSIPCO, 2015)

Piecewise parameterised Markov random fields for semi-local Hurst estimation. - J.-B. Regli; James D. B. Nelson (EUSIPCO, 2015)

Estimating multiresolution dependency graphs within the stationary wavelet framework. - Alexander J. Gibberd; James D. B. Nelson (GlobalSIP, 2015)

Generalised M-Lasso for robust, spatially regularised hurst estimation. - James D. B. Nelson; Corina Nafornita; Alexandru Isar (GlobalSIP, 2015)

Sparse Temporal Difference Learning via Alternating Direction Method of Multipliers. - Nikos Tsipinakis; James D. B. Nelson (ICMLA, 2015)

Estimating Dynamic Graphical Models from Multivariate Time-series Data. - Alexander J. Gibberd; James D. B. Nelson (AALTD@PKDD/ECML, 2015)

Estimating Dynamic Graphical Models from Multivariate Time-Series Data: Recent Methods and Results. - Alexander J. Gibberd; James D. B. Nelson (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

Wavelet shrinkage using adaptive structured sparsity constraints. - Diego Tomassi; Diego H. Milone; James D. B. Nelson (Signal Process., 2015)

Enhanced B-Wavelets via Mixed, Composite Packets. - James D. B. Nelson (IEEE Trans. Signal Process., 2015)

Performance analysis of SAR image denoising using scaling exponent estimator. - Corina Nafornita; James D. B. Nelson; Alexandru Isar (COMM, 2016)

The Time-Varying Dependency Patterns of NetFlow Statistics. - Alexander J. Gibberd; Marina Evangelou; James D. B. Nelson (ICDM Workshops, 2016)

M-Estimate robust PCA for Seismic Noise Attenuation. - Hojjat Akhondi Asl; James D. B. Nelson (ICIP, 2016)

Introducing the locally stationary dual-tree complex wavelet model. - James D. B. Nelson; Alexander J. Gibberd (ICIP, 2016)

Scattering convolutional hidden Markov trees. - J.-B. Regli; James D. B. Nelson (ICIP, 2016)

Multi-scale sparse coding with anomaly detection and classification. - Hojjat Akhondi Asl; James D. B. Nelson (SSP, 2016)

Regularised estimation of 2D-locally stationary wavelet processes. - Alexander J. Gibberd; James D. B. Nelson (SSP, 2016)

Semi-Local Scaling Exponent Estimation With Box-Penalty Constraints and Total-Variation Regularization. - James D. B. Nelson; Corina Nafornita; Alexandru Isar (IEEE Trans. Image Process., 2016)

Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification. - Peng Chen; James D. B. Nelson; Jean-Yves Tourneret (IEEE Trans. Image Process., 2017)

The locally stationary dual-tree complex wavelet model. - James D. B. Nelson; Alexander J. Gibberd; Corina Nafornita; Nick G. Kingsbury (Stat. Comput., 2018)