James D. B. Nelson

According to our database, James D. B. Nelson authored at least 40 papers between 2003 and 2018.

Collaborative distances:

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

2018

The locally stationary dual-tree complex wavelet model.

James D. B. Nelson, Alexander J. Gibberd, Corina Nafornita, Nick G. Kingsbury

Stat. Comput., 2018

2017

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

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

Regularised estimation of 2D-locally stationary wavelet processes.

Alexander J. Gibberd, James D. B. Nelson

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multi-scale sparse coding with anomaly detection and classification.

Hojjat Akhondi Asl, James D. B. Nelson

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Scattering convolutional hidden Markov trees.

J.-B. Regli, James D. B. Nelson

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Introducing the locally stationary dual-tree complex wavelet model.

James D. B. Nelson, Alexander J. Gibberd

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

M-Estimate robust PCA for Seismic Noise Attenuation.

Hojjat Akhondi Asl, James D. B. Nelson

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

The Time-Varying Dependency Patterns of NetFlow Statistics.

Alexander J. Gibberd, Marina Evangelou, James D. B. Nelson

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Performance analysis of SAR image denoising using scaling exponent estimator.

Corina Nafornita, James D. B. Nelson, Alexandru Isar

Proceedings of the International Conference on Communications, 2016

2015

Enhanced B-Wavelets via Mixed, Composite Packets.

James D. B. Nelson

IEEE Trans. Signal Process., 2015

Wavelet shrinkage using adaptive structured sparsity constraints.

Diego Tomassi, Diego H. Milone, James D. B. Nelson

Signal Process., 2015

Estimating Dynamic Graphical Models from Multivariate Time-Series Data: Recent Methods and Results.

Alexander J. Gibberd, James D. B. Nelson

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Estimating Dynamic Graphical Models from Multivariate Time-series Data.

Alexander J. Gibberd, James D. B. Nelson

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Sparse Temporal Difference Learning via Alternating Direction Method of Multipliers.

Nikos Tsipinakis, James D. B. Nelson

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Generalised M-Lasso for robust, spatially regularised hurst estimation.

James D. B. Nelson, Corina Nafornita, Alexandru Isar

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Estimating multiresolution dependency graphs within the stationary wavelet framework.

Alexander J. Gibberd, James D. B. Nelson

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Piecewise parameterised Markov random fields for semi-local Hurst estimation.

J.-B. Regli, James D. B. Nelson

Proceedings of the 23rd European Signal Processing Conference, 2015

Compressive imaging with complex wavelet transform and turbo AMP reconstruction.

Chunli Guo, James D. B. Nelson

Proceedings of the 23rd European Signal Processing Conference, 2015

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

Stochastic Extraction of Elongated Curvilinear Structures With Applications.

Vladimir A. Krylov, James D. B. Nelson

IEEE Trans. Image Process., 2014

Online joint classification and anomaly detection via sparse coding.

Alfredo A. Kalaitzis, James D. B. Nelson

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Regularised, semi-local hurst estimation via generalised lasso and dual-tree complex wavelets.

Corina Nafornita, Alexandru Isar, James D. B. Nelson

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

High dimensional changepoint detection with a dynamic graphical lasso.

Alexander J. Gibberd, James D. B. Nelson

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Fused Lasso and rotation invariant autoregressive models for texture classification.

James D. B. Nelson

Pattern Recognit. Lett., 2013

Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images.

Vladimir A. Krylov, Stuart Taylor, James D. B. Nelson

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Fast Road Network Extraction from Remotely Sensed Images.

Vladimir A. Krylov, James D. B. Nelson

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013

2012

Fractal dimension, wavelet shrinkage and anomaly detection for mine hunting.

James D. B. Nelson, Nick G. Kingsbury

IET Signal Process., 2012

Multi-rate estimation of coloured noise models in graph-based estimation algorithms.

Simon J. Julier, Renzo De Nardi, James D. B. Nelson

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

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

2010

Dual-tree wavelets for estimation of locally varying and anisotropic fractal dimension.

James D. B. Nelson, Nick G. Kingsbury

Proceedings of the International Conference on Image Processing, 2010

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

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

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

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

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

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

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

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, Cedric Nishan Canagarajah, Stavri G. Nikolov, Artur Loza, Nedeljko Cvejic

Comput. J., 2007

2006

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

2003

On the coefficient quantization of the Fourier basis.

James D. B. Nelson

IEEE Trans. Signal Process., 2003