Chris Williams

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Andrew ZissermanUniversity of Oxford在 robots.ox.ac.uk 的電子郵件地址已通過驗證
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACE在 insait.ai 的電子郵件地址已通過驗證
Carl Edward RasmussenProfessor of Machine Learning, University of Cambridge在 cam.ac.uk 的電子郵件地址已通過驗證
S. M. Ali EslamiGoogle DeepMind在 google.com 的電子郵件地址已通過驗證
Christopher M. BishopTechnical Fellow, Microsoft Research, Cambridge, U.K.在 microsoft.com 的電子郵件地址已通過驗證
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61在 data61.csiro.au 的電子郵件地址已通過驗證
Geoffrey HintonEmeritus Prof. Computer Science, University of Toronto在 cs.toronto.edu 的電子郵件地址已通過驗證
Matthias SeegerPrincipal Applied Scientist, Amazon, Berlin在 amazon.de 的電子郵件地址已通過驗證
John Shawe-TaylorUCL在 cs.ucl.ac.uk 的電子郵件地址已通過驗證
John QuinnGoogle Research, Sunbird AI, Makerere University在 cit.ac.ug 的電子郵件地址已通過驗證
Richard ZemelProfessor of Computer Science, University of Toronto在 cs.toronto.edu 的電子郵件地址已通過驗證
David BarberDepartment of Computer Science, University College London在 ucl.ac.uk 的電子郵件地址已通過驗證
Michael MozerGoogle DeepMind; University of Colorado在 colorado.edu 的電子郵件地址已通過驗證
Neil D. LawrenceUniversity of Cambridge在 cl.cam.ac.uk 的電子郵件地址已通過驗證
Marc ToussaintProfessor of Computer Science, TU Berlin, Germany在 tu-berlin.de 的電子郵件地址已通過驗證
Miguel Á. Carreira-PerpiñánProfessor of Computer Science, University of California, Merced在 ucmerced.edu 的電子郵件地址已通過驗證
Ian T. NabneyProfessor and Associate Dean, Faculty of Science and Engineering, University of Bristol在 bristol.ac.uk 的電子郵件地址已通過驗證
Joaquin Quiñonero CandelaOpenAI在 openai.com 的電子郵件地址已通過驗證
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)在 dbs.ifi.lmu.de 的電子郵件地址已通過驗證
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UK在 ed.ac.uk 的電子郵件地址已通過驗證

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Chris Williams

Professor of Machine Learning, University of Edinburgh

在 inf.ed.ac.uk 的電子郵件地址已通過驗證

Machine learning pattern recognition computer vision


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
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	24093	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, 98-136, 2015	11668	2015
Gaussian Processes for Machine Learning CE Rasmussen, CKI Williams MIT Press, 2006	5494*	2006
Using the Nyström method to speed up kernel machines C Williams, M Seeger Advances in neural information processing systems 13, 2000	3131	2000
Gaussian processes for regression C Williams, C Rasmussen Advances in neural information processing systems 8, 1995	1985	1995
GTM: The generative topographic mapping CM Bishop, M Svensén, CKI Williams Neural computation 10 (1), 215-234, 1998	1935	1998
Multi-task Gaussian process prediction EV Bonilla, K Chai, C Williams Advances in neural information processing systems 20, 2007	1522	2007
Bayesian classification with Gaussian processes CKI Williams, D Barber IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998	1066	1998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond CKI Williams Learning in graphical models, 599-621, 1998	994	1998
Fast forward selection to speed up sparse Gaussian process regression MW Seeger, CKI Williams, ND Lawrence International Workshop on Artificial Intelligence and Statistics, 254-261, 2003	671	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	534	2006
A framework for the quantitative evaluation of disentangled representations C Eastwood, CKI Williams 6th International Conference on Learning Representations, 2018	502	2018
Computing with infinite networks C Williams Advances in neural information processing systems 9, 1996	476	1996
Regression with input-dependent noise: A Gaussian process treatment P Goldberg, C Williams, C Bishop Advances in neural information processing systems 10, 1997	467	1997
On a connection between kernel PCA and metric multidimensional scaling C Williams Advances in neural information processing systems 13, 2000	351	2000
Milepost gcc: Machine learning enabled self-tuning compiler G Fursin, Y Kashnikov, AW Memon, Z Chamski, O Temam, M Namolaru, ... International journal of parallel programming 39, 296-327, 2011	335	2011
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	321	2006
Harmonising chorales by probabilistic inference M Allan, C Williams Advances in neural information processing systems 17, 2004	277	2004
Developments of the generative topographic mapping CM Bishop, M Svensén, CKI Williams Neurocomputing 21 (1-3), 203-224, 1998	277	1998
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	272	1996

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