Chris Williams - Google Scholar Citations

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Citations	43765	28699
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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
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
Marc ToussaintProfessor of Computer Science, University of Stuttgart, GermanyVerified email at informatik.uni-stuttgart.de
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
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
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Co-Director at The Alan Turing InstituteVerified email at ed.ac.uk

Chris Williams

Professor of Machine Learning, University of Edinburgh

Verified email at inf.ed.ac.uk

Machine learning pattern recognition computer vision


Title	Cited by	Year
Gaussian process for machine learning CE Rasmussen, CKI Williams MIT press, 2006	16127	2006
Gaussian processes for machine learning CE Rasmussen, CKI Williams MIT Press, 2006	16085	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	7199	2010
The PASCAL visual object classes challenge 2007 (VOC2007) results M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman	2251	2007
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	1969	2015
Using the Nyström method to speed up kernel machines CKI Williams, M Seeger Advances in neural information processing systems, 682-688, 2001	1933	2001
GTM: The generative topographic mapping CM Bishop, M Svensén, CKI Williams Neural computation 10 (1), 215-234, 1998	1615	1998
Gaussian processes for regression CKI Williams, CE Rasmussen Advances in neural information processing systems, 514-520, 1996	1037	1996
Bayesian classification with Gaussian processes CKI Williams, D Barber IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (12), 1342 …, 1998	740	1998
Multi-task Gaussian process prediction EV Bonilla, KM Chai, C Williams Advances in neural information processing systems, 153-160, 2008	713	2008
Prediction with Gaussian processes: From linear regression to linear prediction and beyond CKI Williams Learning in graphical models, 599-621, 1998	666	1998
Gaussian processes for machine learning CKI Williams, CE Rasmussen MIT press 2 (3), 4, 2006	564	2006
Using machine learning to focus iterative optimization F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ... Proceedings of the international symposium on code generation and …, 2006	417	2006
Fast forward selection to speed up sparse Gaussian process regression M Seeger, C Williams, N Lawrence Artificial Intelligence and Statistics 9, 2003	399	2003
Gaussian processes for machine learning, vol. 1 CE Rasmussen, CK Williams MIT press 39, 40-43, 2006	321	2006
Computing with infinite networks CKI Williams Advances in neural information processing systems, 295-301, 1997	297	1997
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	266	2005
Pascal visual object classes challenge results M Everingham, LV Gool, C Williams, A Zisserman Available from www. pascal-network. org 1 (6), 7, 2005	264	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	258	1998
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	235	2006

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