| 2008 |
|---|
| 17 | EE | Cédric Févotte,
Bruno Torrésani,
Laurent Daudet,
Simon J. Godsill:
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio.
IEEE Transactions on Audio, Speech & Language Processing 16(1): 174-185 (2008) |
| 2007 |
|---|
| 16 | EE | Ji Won Yoon,
Simon J. Godsill,
ChulHun Kang,
Tae-Seong Kim:
Bayesian Inference for 2D Gel Electrophoresis Image Analysis.
BIRD 2007: 343-356 |
| 15 | EE | Julie R. Jupp,
Patrick Langdon,
Simon J. Godsill:
Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective.
HCI (5) 2007: 696-705 |
| 14 | EE | William Ng,
Jack Li,
Simon J. Godsill,
Sze Kim Pang:
Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods.
Comput. J. 50(6): 674-693 (2007) |
| 2006 |
|---|
| 13 | EE | Cédric Févotte,
Simon J. Godsill:
Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm.
ICA 2006: 593-600 |
| 12 | | Nick Whiteley,
Ali Taylan Cemgil,
Simon J. Godsill:
Bayesian Modelling of Temporal Structure in Musical Audio.
ISMIR 2006: 29-34 |
| 11 | EE | Cédric Févotte,
Simon J. Godsill:
A Bayesian Approach for Blind Separation of Sparse Sources.
IEEE Transactions on Audio, Speech & Language Processing 14(6): 2174-2188 (2006) |
| 10 | EE | Marco J. Lombardi,
Simon J. Godsill:
On-line Bayesian estimation of signals in symmetric /spl alpha/-stable noise.
IEEE Transactions on Signal Processing 54(2): 775-779 (2006) |
| 2004 |
|---|
| 9 | EE | Cédric Févotte,
Simon J. Godsill,
Patrick J. Wolfe:
Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources.
ICA 2004: 398-405 |
| 2003 |
|---|
| 8 | EE | Jaco Vermaak,
Simon J. Godsill,
Arnaud Doucet:
Sequential Bayesian Kernel Regression.
NIPS 2003 |
| 2002 |
|---|
| 7 | EE | Patrick J. Wolfe,
Simon J. Godsill:
Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement.
NIPS 2002: 1197-1204 |
| 6 | EE | Arnaud Doucet,
Simon J. Godsill,
Christian P. Robert:
Marginal maximum a posteriori estimation using Markov chain Monte Carlo.
Statistics and Computing 12(1): 77-84 (2002) |
| 2001 |
|---|
| 5 | EE | Paul T. Troughton,
Simon J. Godsill:
MCMC methods for restoration of nonlinearly distorted autoregressive signals.
Signal Processing 81(1): 83-97 (2001) |
| 1999 |
|---|
| 4 | | Paul T. Troughton,
Simon J. Godsill:
MCMC methods for restoration of quantised time series.
NSIP 1999: 447-451 |
| 1997 |
|---|
| 3 | | Anil C. Kokaram,
Simon J. Godsill:
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data.
ICIAP (2) 1997: 719-726 |
| 2 | EE | Anil C. Kokaram,
Simon J. Godsill:
Joint Detection, Interpolation, Motion and Parameter Estimation forImage Sequences with Missing Data.
ICIP (2) 1997: 191-194 |
| 1996 |
|---|
| 1 | | Anil C. Kokaram,
Simon J. Godsill:
A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors.
ECCV (2) 1996: 613-624 |
