Chris Williams

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Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEEmail yang diverifikasi di insait.ai
Andrew ZissermanUniversity of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeEmail yang diverifikasi di cam.ac.uk
S. M. Ali EslamiGoogle DeepMindEmail yang diverifikasi di google.com
Christopher M. BishopTechnical Fellow, Microsoft Research, Cambridge, U.K.Email yang diverifikasi di microsoft.com
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Email yang diverifikasi di data61.csiro.au
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinEmail yang diverifikasi di amazon.de
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoEmail yang diverifikasi di cs.toronto.edu
John Shawe-TaylorUCLEmail yang diverifikasi di cs.ucl.ac.uk
John QuinnGoogle Research, Sunbird AI, Makerere UniversityEmail yang diverifikasi di cit.ac.ug
Richard ZemelProfessor of Computer Science, University of TorontoEmail yang diverifikasi di cs.toronto.edu
David BarberDepartment of Computer Science, University College LondonEmail yang diverifikasi di ucl.ac.uk
Michael MozerGoogle DeepMind; University of ColoradoEmail yang diverifikasi di colorado.edu
Neil D. LawrenceUniversity of CambridgeEmail yang diverifikasi di cl.cam.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyEmail yang diverifikasi di tu-berlin.de
Miguel Á. Carreira-PerpiñánProfessor of Computer Science, University of California, MercedEmail yang diverifikasi di ucmerced.edu
Ian T. NabneyProfessor and Associate Dean, Faculty of Science and Engineering, University of BristolEmail yang diverifikasi di bristol.ac.uk
Joaquin Quiñonero CandelaOpenAIEmail yang diverifikasi di openai.com
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Email yang diverifikasi di dbs.ifi.lmu.de
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKEmail yang diverifikasi di ed.ac.uk

Ikuti

Chris Williams

Professor of Machine Learning, University of Edinburgh

Email yang diverifikasi di inf.ed.ac.uk

Machine learning pattern recognition computer vision


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	24750	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	11225	2015
Gaussian Processes for Machine Learning CE Rasmussen, CKI Williams MIT Press, 2006	6677*	2006
Using the Nyström method to speed up kernel machines C Williams, M Seeger Advances in neural information processing systems 13, 2000	3176	2000
Gaussian processes for regression C Williams, C Rasmussen Advances in neural information processing systems 8, 1995	2066	1995
GTM: The generative topographic mapping CM Bishop, M Svensén, CKI Williams Neural computation 10 (1), 215-234, 1998	1951	1998
Multi-task Gaussian process prediction EV Bonilla, K Chai, C Williams Advances in neural information processing systems 20, 2007	1566	2007
Bayesian classification with Gaussian processes CKI Williams, D Barber IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998	1092	1998
Prediction with Gaussian processes: From linear regression to linear prediction and beyond CKI Williams Learning in graphical models, 599-621, 1998	1013	1998
Advances in neural information processing systems CKI Williams, CE Rasmussen Nobili F, Mazzei D, Dessi B, Morbelli S, Brugnolo A, Barbieri P, 18131821, 1996	881	1996
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	675	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	537	2006
A framework for the quantitative evaluation of disentangled representations C Eastwood, CKI Williams 6th International Conference on Learning Representations, 2018	526	2018
Computing with infinite networks C Williams Advances in neural information processing systems 9, 1996	493	1996
Regression with input-dependent noise: A Gaussian process treatment P Goldberg, C Williams, C Bishop Advances in neural information processing systems 10, 1997	474	1997
On a connection between kernel PCA and metric multidimensional scaling C Williams Advances in neural information processing systems 13, 2000	355	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	342	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	319	2006
Covariance functions CE Rasmussen, CKI Williams MIT press, 2005	305	2005
Developments of the generative topographic mapping CM Bishop, M Svensén, CKI Williams Neurocomputing 21 (1-3), 203-224, 1998	283	1998

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