| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jyri J. Kivinen, Christopher K. I. Williams |
Multiple Texture Boltzmann Machines.  |
Journal of Machine Learning Research - Proceedings Track  |
2012 |
DBLP BibTeX RDF |
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| 1 | Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon, Zbigniew Chamski, Olivier Temam, Mircea Namolaru, Elad Yom-Tov, Bilha Mendelson, Ayal Zaks, Eric Courtois, François Bodin, Phil Barnard, Elton Ashton, Edwin V. Bonilla, John Thomson, Christopher K. I. Williams, Michael F. P. O'Boyle |
Milepost GCC: Machine Learning Enabled Self-tuning Compiler. |
International Journal of Parallel Programming |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Stefan Harmeling, Christopher K. I. Williams |
Greedy Learning of Binary Latent Trees. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Bill Triggs, Christopher K. I. Williams |
Special Issue on Probabilistic Models for Image Understanding, Part II. |
International Journal of Computer Vision |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyri J. Kivinen, Christopher K. I. Williams |
Transformation Equivariant Boltzmann Machines. |
ICANN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Ioan Stanculescu |
Automating the Calibration of a Neonatal Condition Monitoring System. |
AIME |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Mark Everingham, Luc J. Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman |
The Pascal Visual Object Classes (VOC) Challenge. |
International Journal of Computer Vision |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Bill Triggs, Christopher K. I. Williams |
Editorial: Special Issue on Probabilistic Models for Image Understanding. |
International Journal of Computer Vision |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | John D. Lafferty, Christopher K. I. Williams, John Shawe-Taylor, Richard S. Zemel, Aron Culotta (eds.) |
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Moray Allan, Christopher K. I. Williams |
Object localisation using the Generative Template of Features. |
Computer Vision and Image Understanding |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | John A. Quinn, Christopher K. I. Williams, Neil McIntosh |
Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicolas Heess, Christopher K. I. Williams, Geoffrey E. Hinton |
Learning Generative Texture Models with extended Fields-of-Experts. |
BMVC |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta (eds.) |
Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | John A. Quinn, Christopher K. I. Williams |
Signal masking in Gaussian channels. |
ICASSP |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Kian Ming Adam Chai, Christopher K. I. Williams, Stefan Klanke, Sethu Vijayakumar |
Multi-task Gaussian Process Learning of Robot Inverse Dynamics. |
NIPS |
2008 |
DBLP BibTeX RDF |
|
| 1 | Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams |
Kernel Multi-task Learning using Task-specific Features. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | John A. Quinn, Christopher K. I. Williams |
Known Unknowns: Novelty Detection in Condition Monitoring. |
IbPRIA |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Edwin V. Bonilla, Kian Ming Adam Chai, Christopher K. I. Williams |
Multi-task Gaussian Process Prediction. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Wolfgang P. Lehrach, Dirk Husmeier, Christopher K. I. Williams |
A regularized discriminative model for the prediction of protein-peptide interactions. |
Bioinformatics |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams |
Using Machine Learning to Focus Iterative Optimization. |
CGO |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Michalis K. Titsias, Christopher K. I. Williams |
Sequential Learning of Layered Models from Video. |
Toward Category-Level Object Recognition |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman |
Dataset Issues in Object Recognition. |
Toward Category-Level Object Recognition |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle |
Predictive search distributions. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams |
How to Pretend That Correlated Variables Are Independent by Using Difference Observations. |
Neural Computation |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola |
On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA. |
IEEE Transactions on Information Theory |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Moray Allan, Michalis K. Titsias, Christopher K. I. Williams |
Fast Learning of Sprites using Invariant Features. |
BMVC |
2005 |
DBLP BibTeX RDF |
|
| 1 | Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang |
The 2005 PASCAL Visual Object Classes Challenge. |
MLCW |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Wolfgang P. Lehrach, Dirk Husmeier, Christopher K. I. Williams |
Probabilistic in Silico Prediction of Protein-Peptide Interactions. |
Systems Biology and Regulatory Genomics |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Michalis K. Titsias, Christopher K. I. Williams |
Unsupervised Learning of Multiple Aspects of Moving Objects from Video. |
Panhellenic Conference on Informatics |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams, John A. Quinn, Neil McIntosh |
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Michalis K. Titsias |
Greedy Learning of Multiple Objects in Images Using Robust Statistics and Factorial Learning. |
Neural Computation |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Peter Sollich, Christopher K. I. Williams |
Understanding Gaussian Process Regression Using the Equivalent Kernel. |
Deterministic and Statistical Methods in Machine Learning |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Moray Allan, Christopher K. I. Williams |
Harmonising Chorales by Probabilistic Inference. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Peter Sollich, Christopher K. I. Williams |
Using the Equivalent Kernel to Understand Gaussian Process Regression. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Amos J. Storkey, Christopher K. I. Williams |
Image Modeling with Position-Encoding Dynamic Trees. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2003 |
DBLP DOI BibTeX RDF |
Dynamic trees, structured image models, tree structured networks, image segmentation, Bayesian networks, belief networks, variational inference |
| 1 | Nicholas J. Adams, Christopher K. I. Williams |
Dynamic trees for image modelling. |
Image Vision Comput. |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Miguel Á. Carreira-Perpiñán, Christopher K. I. Williams |
On the Number of Modes of a Gaussian Mixture. |
Scale-Space |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Amos J. Storkey, Nigel C. Hambly, Christopher K. I. Williams, Robert G. Mann |
Renewal Strings for Cleaning Astronomical Databases. |
UAI |
2003 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Felix V. Agakov, Christopher K. I. Williams |
Extreme Components Analysis. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Xiaojuan Feng, Christopher K. I. Williams, Stephen N. Felderhof |
Combining Belief Networks and Neural Networks for Scene Segmentation. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2002 |
DBLP DOI BibTeX RDF |
tree-structured belief network (TSBN), scaled-likelihood method, conditional maximum-likelihood training, neural network, Markov random field (MRF), Gaussian mixture model, hierarchical modeling, expectation-maximization (EM) |
| 1 | Christopher K. I. Williams |
On a Connection between Kernel PCA and Metric Multidimensional Scaling. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Felix V. Agakov |
Products of Gaussians and Probabilistic Minor Component Analysis. |
Neural Computation |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicholas J. Adams, Christopher K. I. Williams |
Dynamic Trees: Learning to Model Outdoor Scenes. |
ECCV |
2002 |
DBLP BibTeX RDF |
|
| 1 | John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola |
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. |
ALT |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola |
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. |
Discovery Science |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | John Shawe-Taylor, Christopher K. I. Williams |
The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Michalis K. Titsias |
Learning About Multiple Objects in Images: Factorial Learning without Factorial Search. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Francesco Vivarelli, Christopher K. I. Williams |
Comparing Bayesian neural network algorithms for classifying segmented outdoor images. |
Neural Networks |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Felix V. Agakov, Stephen N. Felderhof |
Products of Gaussians. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Francesco Vivarelli |
Upper and Lower Bounds on the Learning Curve for Gaussian Processes. |
Machine Learning |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Ian T. Nabney, Dan Cornford, Christopher K. I. Williams |
Bayesian inference for wind field retrieval. |
Neurocomputing |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicholas J. Adams, Amos J. Storkey, Christopher K. I. Williams, Zoubin Ghahramani |
MFDTs: Mean Field Dynamic Trees. |
ICPR |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Matthias Seeger |
The Effect of the Input Density Distribution on Kernel-based Classifiers. |
ICML |
2000 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams |
On a Connection between Kernel PCA and Metric Multidimensional Scaling. |
NIPS |
2000 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Matthias Seeger |
Using the Nyström Method to Speed Up Kernel Machines. |
NIPS |
2000 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams |
A MCMC Approach to Hierarchical Mixture Modelling. |
NIPS |
1999 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, David Barber |
Bayesian Classification With Gaussian Processes. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1998 |
DBLP DOI BibTeX RDF |
hybrid Monte Carlo, Markov chain Monte Carlo, Gaussian processes, Bayesian classification, classification problems, parameter uncertainty |
| 1 | Christopher K. I. Williams |
Computation with Infinite Neural Networks. |
Neural Computation |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams |
GTM: The Generative Topographic Mapping. |
Neural Computation |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams |
Developments of the generative topographic mapping. |
Neurocomputing |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Francesco Vivarelli, Christopher K. I. Williams |
Discovering Hidden Features with Gaussian Processes Regression. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Giancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper |
Finite-Dimensional Approximation of Gaussian Processes. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Nicholas J. Adams |
DTs: Dynamic Trees. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Dan Cornford, Ian T. Nabney, Christopher K. I. Williams |
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton |
Instantiating Deformable Models with a Neural Net. |
Computer Vision and Image Understanding |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop |
Regression with Input-dependent Noise: A Gaussian Process Treatment. |
NIPS |
1997 |
DBLP BibTeX RDF |
|
| 1 | Michael Revow, Christopher K. I. Williams, Geoffrey E. Hinton |
Using Generative Models for Handwritten Digit Recognition. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1996 |
DBLP DOI BibTeX RDF |
optical character recognition, Deformable model, probabilistic model, mixture model, generative model, elastic net |
| 1 | Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams |
GTM: A Principled Alternative to the Self-Organizing Map. |
ICANN |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | David Barber, Christopher K. I. Williams |
Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams |
GTM: A Principled Alternative to the Self-Organizing Map. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams |
Computing with Infinite Networks. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Richard S. Zemel, Christopher K. I. Williams, Michael Mozer |
Lending direction to neural networks. |
Neural Networks |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Carl Edward Rasmussen |
Gaussian Processes for Regression. |
NIPS |
1995 |
DBLP BibTeX RDF |
|
| 1 | Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams |
EM Optimization of Latent-Variables Density Models. |
NIPS |
1995 |
DBLP BibTeX RDF |
|
| 1 | Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton |
Using a neural net to instantiate a deformable model. |
NIPS |
1994 |
DBLP BibTeX RDF |
|
| 1 | Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams |
Learning to Segment Images Using Dynamic Feature Binding. |
Neural Computation |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | Richard S. Zemel, Christopher K. I. Williams, Michael Mozer |
Directional-Unit Boltzmann Machines. |
NIPS |
1992 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Christopher K. I. Williams, Michael Revow |
Adaptive Elastic Models for Hand-Printed Character Recognition. |
NIPS |
1991 |
DBLP BibTeX RDF |
|
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