Chris Williams

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	All	Since 2016
Citations	54905	32335
h-index	56	39
i10-index	138	85

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Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Christopher M. BishopDistinguished Scientist, Microsoft Research, Cambridge, U.K.Verified email at microsoft.com
S. M. Ali EslamiGoogle DeepMindVerified email at google.com
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Verified email at data61.csiro.au
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de
John QuinnGoogle AI Ghana, Makerere UniversityVerified email at cit.ac.ug
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
David BarberDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
Michael MozerUniversity of ColoradoVerified email at colorado.edu
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Jyri J. KivinenGE HealthcareVerified email at ge.com
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at informatik.uni-stuttgart.de
Miguel A. Carreira-PerpinanProfessor of Computer Science, University of California, MercedVerified email at ucmerced.edu
Ian T. NabneyProfessor and Head of SCEEM, University of BristolVerified email at bristol.ac.uk
Joaquin Quiñonero CandelaEngineering Director at FacebookVerified email at fb.com
Volker TrespLudwig Maximilian University of Munich / München (LMU) and Siemens AGVerified email at dbs.ifi.lmu.de

Chris Williams

Professor of Machine Learning, University of Edinburgh

Verified email at inf.ed.ac.uk

Machine learning pattern recognition computer vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gaussian processes for machine learning CE Rasmussen, CKI Williams MIT Press, 2006	21735	2006
Gaussian process for machine learning CE Rasmussen, CKI Williams MIT press, 2006	20313	2006
The PASCAL Visual Object Classes (VOC) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman Int J Computer Vision 88 (2), 303-338, 2010	9933	2010
The pascal visual object classes challenge: A retrospective M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ... International journal of computer vision 111 (1), 98-136, 2015	2994	2015
The PASCAL visual object classes challenge 2007 (VOC2007) results M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman	2590	2007
Using the Nyström method to speed up kernel machines CKI Williams, M Seeger Advances in neural information processing systems, 682-688, 2001	2240	2001
GTM: The generative topographic mapping CM Bishop, M Svensén, CKI Williams Neural computation 10 (1), 215-234, 1998	1704	1998
Gaussian processes for regression C Williams, C Rasmussen Advances in neural information processing systems 8, 514-520, 1995	1229	1995
Multi-task Gaussian process prediction EV Bonilla, KM Chai, C Williams Advances in neural information processing systems, 153-160, 2008	901	2008
Bayesian classification with Gaussian processes CKI Williams, D Barber IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (12), 1342 …, 1998	842	1998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond CKI Williams Learning in graphical models, 599-621, 1998	748	1998
Fast forward selection to speed up sparse Gaussian process regression M Seeger, C Williams, N Lawrence Artificial Intelligence and Statistics 9, 2003	478	2003
Using machine learning to focus iterative optimization F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ... International Symposium on Code Generation and Optimization (CGO'06), 11 pp.-305, 2006	451	2006
The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005	386	2005
Regression with input-dependent noise: A Gaussian process treatment PW Goldberg, CKI Williams, CM Bishop Advances in neural information processing systems, 493-499, 1998	324	1998
Resin infusion under flexible tooling (RIFT): a review C Williams, J Summerscales, S Grove Composites Part A: Applied Science and Manufacturing 27 (7), 517-524, 1996	275	1996
Dataset issues in object recognition J Ponce, TL Berg, M Everingham, DA Forsyth, M Hebert, S Lazebnik, ... Toward category-level object recognition, 29-48, 2006	262	2006
Developments of the generative topographic mapping CM Bishop, M Svensén, CKI Williams Neurocomputing 21 (1-3), 203-224, 1998	230	1998
GTM: A principled alternative to the self-organizing map CM Bishop, M Svensén, CKI Williams Advances in neural information processing systems, 354-360, 1997	227	1997
Using generative models for handwritten digit recognition M Revow, CKI Williams, GE Hinton IEEE transactions on pattern analysis and machine intelligence 18 (6), 592-606, 1996	224	1996

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