James D. B. Nelson

Publication Activity (10 Years)

Years Active: 2003-2018
Publications (10 Years): 10

Top Topics

Curvilinear Structures

Top Venues

IEEE Trans. Image Process.

Publications

James D. B. Nelson, Alexander J. Gibberd, Corina Nafornita, Nick G. Kingsbury
The locally stationary dual-tree complex wavelet model. Stat. Comput. 28 (6) (2018)
Peng Chen, James D. B. Nelson, Jean-Yves Tourneret
Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification. IEEE Trans. Image Process. 26 (1) (2017)
Alexander J. Gibberd, James D. B. Nelson
Regularised estimation of 2D-locally stationary wavelet processes. SSP (2016)
James D. B. Nelson, Alexander J. Gibberd
Introducing the locally stationary dual-tree complex wavelet model. ICIP (2016)
Alexander J. Gibberd, Marina Evangelou, James D. B. Nelson
The Time-Varying Dependency Patterns of NetFlow Statistics. ICDM Workshops (2016)
J.-B. Regli, James D. B. Nelson
Scattering convolutional hidden Markov trees. ICIP (2016)
Hojjat Akhondi Asl, James D. B. Nelson
M-Estimate robust PCA for Seismic Noise Attenuation. ICIP (2016)
James D. B. Nelson, Corina Nafornita, Alexandru Isar
Semi-Local Scaling Exponent Estimation With Box-Penalty Constraints and Total-Variation Regularization. IEEE Trans. Image Process. 25 (7) (2016)
Hojjat Akhondi Asl, James D. B. Nelson
Multi-scale sparse coding with anomaly detection and classification. SSP (2016)
Corina Nafornita, James D. B. Nelson, Alexandru Isar
Performance analysis of SAR image denoising using scaling exponent estimator. COMM (2016)
J.-B. Regli, James D. B. Nelson
Piecewise parameterised Markov random fields for semi-local Hurst estimation. EUSIPCO (2015)
Chunli Guo, James D. B. Nelson
Compressive imaging with complex wavelet transform and turbo AMP reconstruction. EUSIPCO (2015)
Alexander J. Gibberd, James D. B. Nelson
Estimating multiresolution dependency graphs within the stationary wavelet framework. GlobalSIP (2015)
Diego Tomassi, Diego H. Milone, James D. B. Nelson
Wavelet shrinkage using adaptive structured sparsity constraints. Signal Process. 106 (2015)
James D. B. Nelson, Corina Nafornita, Alexandru Isar
Generalised M-Lasso for robust, spatially regularised hurst estimation. GlobalSIP (2015)
Alexander J. Gibberd, James D. B. Nelson
Estimating Dynamic Graphical Models from Multivariate Time-Series Data: Recent Methods and Results. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Nikos Tsipinakis, James D. B. Nelson
Sparse Temporal Difference Learning via Alternating Direction Method of Multipliers. ICMLA (2015)
James D. B. Nelson
Enhanced B-Wavelets via Mixed, Composite Packets. IEEE Trans. Signal Process. 63 (12) (2015)
Alexander J. Gibberd, James D. B. Nelson
Estimating Dynamic Graphical Models from Multivariate Time-series Data. AALTD@PKDD/ECML (2015)
Alexander J. Gibberd, James D. B. Nelson
High dimensional changepoint detection with a dynamic graphical lasso. ICASSP (2014)
James D. B. Nelson
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. IEEE Trans. Signal Process. 62 (20) (2014)
Corina Nafornita, Alexandru Isar, James D. B. Nelson
Regularised, semi-local hurst estimation via generalised lasso and dual-tree complex wavelets. ICIP (2014)
Alfredo A. Kalaitzis, James D. B. Nelson
Online joint classification and anomaly detection via sparse coding. MLSP (2014)
Vladimir A. Krylov, James D. B. Nelson
Stochastic Extraction of Elongated Curvilinear Structures With Applications. IEEE Trans. Image Process. 23 (12) (2014)
Vladimir A. Krylov, Stuart Taylor, James D. B. Nelson
Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images. ICIAR (2013)
Vladimir A. Krylov, James D. B. Nelson
Fast Road Network Extraction from Remotely Sensed Images. ACIVS (2013)
James D. B. Nelson
Fused Lasso and rotation invariant autoregressive models for texture classification. Pattern Recognit. Lett. 34 (16) (2013)
James D. B. Nelson, Nick G. Kingsbury
Fractal dimension, wavelet shrinkage and anomaly detection for mine hunting. IET Signal Process. 6 (5) (2012)
Simon J. Julier, Renzo De Nardi, James D. B. Nelson
Multi-rate estimation of coloured noise models in graph-based estimation algorithms. FUSION (2012)
James D. B. Nelson, Nick G. Kingsbury
Enhanced Shift and Scale Tolerance for Rotation Invariant Polar Matching With Dual-Tree Wavelets. IEEE Trans. Image Process. 20 (3) (2011)
James D. B. Nelson, Nick G. Kingsbury
Dual-tree wavelets for estimation of locally varying and anisotropic fractal dimension. ICIP (2010)
James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo
A signal theory approach to support vector classification: The sinc kernel. Neural Networks 22 (1) (2009)
Sze Kim Pang, James D. B. Nelson, Simon J. Godsill, Nick G. Kingsbury
Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter. EURASIP J. Adv. Signal Process. 2009 (2009)
Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification. IEEE Trans. Image Process. 17 (4) (2008)
James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo
Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. Neurocomputing 72 (1-3) (2008)
Baofeng Guo, Robert I. Damper, Steve R. Gunn, James D. B. Nelson
A fast separability-based feature-selection method for high-dimensional remotely sensed image classification. Pattern Recognit. 41 (5) (2008)
James D. B. Nelson, Sze Kim Pang, Nick G. Kingsbury, Simon J. Godsill
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering. FUSION (2008)
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
Applied Multi-Dimensional Fusion. Comput. J. 50 (6) (2007)
Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson
Band Selection for Hyperspectral Image Classification Using Mutual Information. IEEE Geosci. Remote. Sens. Lett. 3 (4) (2006)
James D. B. Nelson
On the coefficient quantization of the Fourier basis. IEEE Trans. Signal Process. 51 (7) (2003)