Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012 | 291 | 2012 |
Point process modelling for directed interaction networks PO Perry, PJ Wolfe Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013 | 246 | 2013 |
Nonparametric graphon estimation PJ Wolfe, SC Olhede arXiv preprint arXiv:1309.5936, 2013 | 239 | 2013 |
Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement PJ Wolfe, SJ Godsill EURASIP Journal on Advances in Signal Processing 2003, 1-9, 2003 | 213 | 2003 |
Spatio-spectral color filter array design for optimal image recovery K Hirakawa, PJ Wolfe IEEE transactions on image processing 17 (10), 1876-1890, 2008 | 202 | 2008 |
Spectral methods in machine learning and new strategies for very large datasets MA Belabbas, PJ Wolfe Proceedings of the National Academy of Sciences 106 (2), 369-374, 2009 | 198 | 2009 |
Network histograms and universality of blockmodel approximation SC Olhede, PJ Wolfe Proceedings of the National Academy of Sciences 111 (41), 14722-14727, 2014 | 177 | 2014 |
Bayesian variable selection and regularization for time–frequency surface estimation PJ Wolfe, SJ Godsill, WJ Ng Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2004 | 150 | 2004 |
Simple alternatives to the Ephraim and Malah suppression rule for speech enhancement PJ Wolfe, SJ Godsill Proceedings of the 11th IEEE Signal Processing Workshop on Statistical …, 2001 | 135 | 2001 |
Interpolation of missing data values for audio signal restoration using a Gabor regression model PJ Wolfe, SJ Godsill Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 109 | 2005 |
An indiscrete music keyboard L Haken, E Tellman, P Wolfe Computer Music Journal 22 (1), 30-48, 1998 | 104 | 1998 |
The growing ubiquity of algorithms in society: implications, impacts and innovations SC Olhede, PJ Wolfe Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018 | 103 | 2018 |
Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking DD Mehta, D Rudoy, PJ Wolfe The Journal of the Acoustical Society of America 132 (3), 1732-1746, 2012 | 99 | 2012 |
Subgraph detection using eigenvector L1 norms B Miller, N Bliss, P Wolfe Advances in Neural Information Processing Systems 23, 2010 | 82 | 2010 |
Co-clustering separately exchangeable network data D Choi, PJ Wolfe | 71 | 2014 |
A framework for wavelet-based analysis and processing of color filter array images with applications to denoising and demosaicing K Hirakawa, XL Meng, PJ Wolfe 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 70 | 2007 |
Null models for network data PO Perry, PJ Wolfe arXiv preprint arXiv:1201.5871, 2012 | 68 | 2012 |
Toward signal processing theory for graphs and non-Euclidean data BA Miller, NT Bliss, PJ Wolfe 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 67 | 2010 |
A spectral framework for anomalous subgraph detection BA Miller, MS Beard, PJ Wolfe, NT Bliss IEEE Transactions on Signal Processing 63 (16), 4191-4206, 2015 | 64 | 2015 |
Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement PJ Wolfe, SJ Godsill 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 57 | 2000 |