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ORCIDJames D. B. Nelson
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- affiliation: University College London, UK
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2010 – 2019
- 2018
[j18]James D. B. Nelson, Alexander J. Gibberd
, Corina Nafornita, Nick G. Kingsbury:
The locally stationary dual-tree complex wavelet model. Stat. Comput. 28(6): 1139-1154 (2018)- 2017
- [j17]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): 426-438 (2017) - 2016
- [j16]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): 3167-3181 (2016) - [c22]Corina Nafornita, James D. B. Nelson, Alexandru Isar:
Performance analysis of SAR image denoising using scaling exponent estimator. COMM 2016: 33-36 - [c21]Alexander J. Gibberd, Marina Evangelou, James D. B. Nelson:
The Time-Varying Dependency Patterns of NetFlow Statistics. ICDM Workshops 2016: 288-294 - [c20]Hojjat Akhondi Asl, James D. B. Nelson:
M-Estimate robust PCA for Seismic Noise Attenuation. ICIP 2016: 1853-1857 - [c19]J.-B. Regli, James D. B. Nelson:
Scattering convolutional hidden Markov trees. ICIP 2016: 1883-1887 - [c18]James D. B. Nelson, Alexander J. Gibberd:
Introducing the locally stationary dual-tree complex wavelet model. ICIP 2016: 3583-3587 - [c17]Hojjat Akhondi Asl, James D. B. Nelson:
Multi-scale sparse coding with anomaly detection and classification. SSP 2016: 1-5 - [c16]Alexander J. Gibberd, James D. B. Nelson:
Regularised estimation of 2D-locally stationary wavelet processes. SSP 2016: 1-5 - 2015
- [j15]Diego Tomassi, Diego H. Milone, James D. B. Nelson:
Wavelet shrinkage using adaptive structured sparsity constraints. Signal Process. 106: 73-87 (2015) - [j14]James D. B. Nelson:
Enhanced B-Wavelets via Mixed, Composite Packets. IEEE Trans. Signal Process. 63(12): 3191-3203 (2015) - [c15]J.-B. Regli, James D. B. Nelson:
Piecewise parameterised Markov random fields for semi-local Hurst estimation. EUSIPCO 2015: 1626-1630 - [c14]Chunli Guo, James D. B. Nelson:
Compressive imaging with complex wavelet transform and turbo AMP reconstruction. EUSIPCO 2015: 1751-1755 - [c13]Alexander J. Gibberd, James D. B. Nelson:
Estimating multiresolution dependency graphs within the stationary wavelet framework. GlobalSIP 2015: 547-551 - [c12]James D. B. Nelson, Corina Nafornita, Alexandru Isar:
Generalised M-Lasso for robust, spatially regularised hurst estimation. GlobalSIP 2015: 1265-1269 - [c11]Nikos Tsipinakis, James D. B. Nelson:
Sparse Temporal Difference Learning via Alternating Direction Method of Multipliers. ICMLA 2015: 220-225 - [c10]Alexander J. Gibberd, James D. B. Nelson:
Estimating Dynamic Graphical Models from Multivariate Time-series Data. AALTD@PKDD/ECML 2015 - [c9]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: 111-128 - 2014
- [j13]Vladimir A. Krylov, James D. B. Nelson:
Stochastic Extraction of Elongated Curvilinear Structures With Applications. IEEE Trans. Image Process. 23(12): 5360-5373 (2014) - [j12]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): 5270-5281 (2014) - [c8]Alexander J. Gibberd, James D. B. Nelson:
High dimensional changepoint detection with a dynamic graphical lasso. ICASSP 2014: 2684-2688 - [c7]Corina Nafornita, Alexandru Isar, James D. B. Nelson:
Regularised, semi-local hurst estimation via generalised lasso and dual-tree complex wavelets. ICIP 2014: 2689-2693 - [c6]Alfredo A. Kalaitzis, James D. B. Nelson:
Online joint classification and anomaly detection via sparse coding. MLSP 2014: 1-6 - 2013
- [j11]James D. B. Nelson:
Fused Lasso and rotation invariant autoregressive models for texture classification. Pattern Recognit. Lett. 34(16): 2166-2172 (2013) - [c5]Vladimir A. Krylov, James D. B. Nelson:
Fast Road Network Extraction from Remotely Sensed Images. ACIVS 2013: 227-237 - [c4]Vladimir A. Krylov, Stuart Taylor, James D. B. Nelson:
Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images. ICIAR 2013: 475-484 - 2012
- [j10]James D. B. Nelson, Nick G. Kingsbury:
Fractal dimension, wavelet shrinkage and anomaly detection for mine hunting. IET Signal Process. 6(5): 484-493 (2012) - [c3]Simon J. Julier, Renzo De Nardi, James D. B. Nelson:
Multi-rate estimation of coloured noise models in graph-based estimation algorithms. FUSION 2012: 2087-2093 - 2011
- [j9]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): 814-821 (2011) - 2010
- [c2]James D. B. Nelson, Nick G. Kingsbury:
Dual-tree wavelets for estimation of locally varying and anisotropic fractal dimension. ICIP 2010: 341-344
2000 – 2009
- 2009
- [j8]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) - [j7]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): 49-57 (2009) - 2008
- [j6]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): 15-22 (2008) - [j5]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): 1653-1662 (2008) - [j4]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): 622-629 (2008) - [c1]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: 1-7 - 2007
- [j3]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): 646-659 (2007) - 2006
- [j2]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): 522-526 (2006) - 2003
- [j1]James D. B. Nelson:
On the coefficient quantization of the Fourier basis. IEEE Trans. Signal Process. 51(7): 1838-1845 (2003)
Coauthor Index
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