Stephen J. Roberts Vis

*	2009
29	EE	Roman Garnett, Michael A. Osborne, Stephen J. Roberts: Sequential Bayesian prediction in the presence of changepoints. ICML 2009: 44
28	EE	Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman: Bayesian Methods for Image Super-Resolution. Comput. J. 52(1): 101-113 (2009)
	2008
27	EE	Hyoungjoo Lee, Stephen J. Roberts: On-line novelty detection using the Kalman filter and extreme value theory. ICPR 2008: 1-4
26	EE	Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan: Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. IDEAL 2008: 370-377
25	EE	Michael A. Osborne, Stephen J. Roberts, Alex Rogers, Sarvapali D. Ramchurn, Nicholas R. Jennings: Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes. IPSN 2008: 109-120
24	EE	Iead Rezek, David S. Leslie, Steven Reece, Stephen J. Roberts, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings: On Similarities between Inference in Game Theory and Machine Learning. J. Artif. Intell. Res. (JAIR) 33: 259-283 (2008)
	2006
23	EE	Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman: Bayesian Image Super-resolution, Continued. NIPS 2006: 1089-1096
	2005
22	EE	Sach Mukherjee, Stephen J. Roberts, Mark J. van der Laan: Data-adaptive test statistics for microarray data. ECCB/JBI 2005: 114
21	EE	Sach Mukherjee, Stephen J. Roberts: A Theoretical Analysis of the Selection of Differentially Expressed Genes. J. Bioinformatics and Computational Biology 3(3): 627-644 (2005)
	2004
20	EE	Sach Mukherjee, Stephen J. Roberts: A Theoretical Analysis of Gene Selection. CSB 2004: 131-141
19	EE	Sach Mukherjee, Stephen J. Roberts: Probabilistic Consistency Analysis for Gene Selection. CSB 2004: 487-488
	2003
18	EE	Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman: A Sampled Texture Prior for Image Super-Resolution. NIPS 2003
17	EE	Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts: Markov Models for Automated ECG Interval Analysis. NIPS 2003
16	EE	S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr: Gene ranking using bootstrapped P-values. SIGKDD Explorations 5(2): 16-22 (2003)
	2002
15	EE	Peter Sykacek, Stephen J. Roberts: Adaptive Classification by Variational Kalman Filtering. NIPS 2002: 737-744
14	EE	Jens Rittscher, Andrew Blake, Stephen J. Roberts: Towards the automatic analysis of complex human body motions. Image Vision Comput. 20(12): 905-916 (2002)
13	EE	Iead Rezek, Michael Gibbs, Stephen J. Roberts: Maximum a Posteriori Estimation of Coupled Hidden Markov Models. VLSI Signal Processing 32(1-2): 55-66 (2002)
	2001
12	EE	Stephen J. Roberts, Christopher Holmes, Dave Denison: Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo. ICANN 2001: 103-110
11	EE	Stephen J. Roberts, William D. Penny: Mixtures of Independent Component Analysers. ICANN 2001: 527-534
10	EE	Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner: A Probabilistic Approach to High-Resolution Sleep Analysis. ICANN 2001: 617-624
9	EE	Peter Sykacek, Stephen J. Roberts: Bayesian time series classification. NIPS 2001: 937-944
8	EE	Stephen J. Roberts, Christopher Holmes, Dave Denison: Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 909-914 (2001)
	2000
7	EE	Stephen J. Roberts, Richard M. Everson, Iead Rezek: Maximum certainty data partitioning. Pattern Recognition 33(5): 833-839 (2000)
	1999
6		Richard M. Everson, Stephen J. Roberts: Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. Neural Computation 11(8): 1957-1983 (1999)
5	EE	Dirk Husmeier, William D. Penny, Stephen J. Roberts: An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neural Networks 12(4-5): 677-705 (1999)
4	EE	William D. Penny, Stephen J. Roberts: Bayesian neural networks for classification: how useful is the evidence framework? Neural Networks 12(6): 877-892 (1999)
	1998
3	EE	Stephen J. Roberts, Dirk Husmeier, Iead Rezek, William D. Penny: Bayesian Approaches to Gaussian Mixture Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1133-1142 (1998)
	1997
2	EE	Stephen J. Roberts: Parametric and non-parametric unsupervised cluster analysis. Pattern Recognition 30(2): 261-272 (1997)
	1994
1	EE	Stephen J. Roberts, Lionel Tarassenko: A Probabilistic Resource Allocating Network for Novelty Detection. Neural Computation 6(2): 270-284 (1994)

Coauthor Index

1	Andrew Blake	[14]
2	David P. Capel	[23] [28]
3	Rajdeep K. Dash	[24]
4	Dave Denison	[8] [12]
5	Georg Dorffner	[10]
6	Matthew Dyson	[26]
7	Richard M. Everson	[6] [7]
8	Arthur Flexer	[10]
9	John Q. Gan	[26]
10	Roman Garnett	[29]
11	Michael Gibbs	[13]
12	Sarah J. Gurr	[16]
13	Christopher Holmes	[8] [12]
14	Nicholas P. Hughes	[17]
15	Dirk Husmeier	[3] [5]
16	Nicholas R. Jennings (Nick R. Jennings)	[24] [25]
17	Mark J. van der Laan	[22]
18	Hyoungjoo Lee	[27]
19	David S. Leslie	[24]
20	S. N. Mukherjee	[16]
21	Sach Mukherjee	[19] [20] [21] [22]
22	Michael A. Osborne	[25] [29]
23	William D. Penny	[3] [4] [5] [11]
24	Lyndsey C. Pickup	[18] [23] [28]
25	Sarvapali D. Ramchurn	[25]
26	Steven Reece	[24]
27	Iead Rezek	[3] [7] [10] [13] [24]
28	Jens Rittscher	[14]
29	Alex Rogers	[24] [25]
30	Peter Sykacek	[9] [10] [15] [16]
31	Lionel Tarassenko	[1] [17]
32	Ji Won Yoon	[26]
33	Andrew Zisserman	[18] [23] [28]

Colors in the list of coauthors