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Christopher K. I. Williams Vis

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*2008
60EEKian Ming Adam Chai, Christopher K. I. Williams, Stefan Klanke, Sethu Vijayakumar: Multi-task Gaussian Process Learning of Robot Inverse Dynamics. NIPS 2008: 265-272
2007
59EEJohn A. Quinn, Christopher K. I. Williams: Known Unknowns: Novelty Detection in Condition Monitoring. IbPRIA (1) 2007: 1-6
2006
58EEFelix 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: 295-305
57EEEdwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle: Predictive search distributions. ICML 2006: 121-128
56EEJean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio B. Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman: Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48
55EEMichalis K. Titsias, Christopher K. I. Williams: Sequential Learning of Layered Models from Video. Toward Category-Level Object Recognition 2006: 577-595
54EEWolfgang P. Lehrach, Dirk Husmeier, Christopher K. I. Williams: A regularized discriminative model for the prediction of protein-peptide interactions. Bioinformatics 22(5): 532-540 (2006)
2005
53EEMark 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: 117-176
52EEChristopher K. I. Williams, John A. Quinn, Neil McIntosh: Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. NIPS 2005
51EEMichalis K. Titsias, Christopher K. I. Williams: Unsupervised Learning of Multiple Aspects of Moving Objects from Video. Panhellenic Conference on Informatics 2005: 746-756
50EEWolfgang P. Lehrach, Dirk Husmeier, Christopher K. I. Williams: Probabilistic in Silico Prediction of Protein-Peptide Interactions. Systems Biology and Regulatory Genomics 2005: 188-197
49EEJohn 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 51(7): 2510-2522 (2005)
48EEChristopher K. I. Williams: How to Pretend That Correlated Variables Are Independent by Using Difference Observations. Neural Computation 17(1): 1-6 (2005)
2004
47EEPeter Sollich, Christopher K. I. Williams: Understanding Gaussian Process Regression Using the Equivalent Kernel. Deterministic and Statistical Methods in Machine Learning 2004: 211-228
46EEMoray Allan, Christopher K. I. Williams: Harmonising Chorales by Probabilistic Inference. NIPS 2004
45EEPeter Sollich, Christopher K. I. Williams: Using the Equivalent Kernel to Understand Gaussian Process Regression. NIPS 2004
44EEChristopher K. I. Williams, Michalis K. Titsias: Greedy Learning of Multiple Objects in Images Using Robust Statistics and Factorial Learning. Neural Computation 16(5): 1039-1062 (2004)
2003
43EEMax Welling, Felix V. Agakov, Christopher K. I. Williams: Extreme Components Analysis. NIPS 2003
42EEMiguel Á. Carreira-Perpiñán, Christopher K. I. Williams: On the Number of Modes of a Gaussian Mixture. Scale-Space 2003: 625-640
41 Amos J. Storkey, Nigel C. Hambly, Christopher K. I. Williams, Robert G. Mann: Renewal Strings for Cleaning Astronomical Databases. UAI 2003: 559-566
40EEAmos J. Storkey, Christopher K. I. Williams: Image Modeling with Position-Encoding Dynamic Trees. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 859-871 (2003)
39EENicholas J. Adams, Christopher K. I. Williams: Dynamic trees for image modelling. Image Vision Comput. 21(10): 865-877 (2003)
2002
38EEJohn 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: 23-40
37EEJohn 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: 12
36EENicholas J. Adams, Christopher K. I. Williams: Dynamic Trees: Learning to Model Outdoor Scenes. ECCV (4) 2002: 82-96
35EEChristopher K. I. Williams, Michalis K. Titsias: Learning About Multiple Objects in Images: Factorial Learning without Factorial Search. NIPS 2002: 1391-1398
34EEJohn Shawe-Taylor, Christopher K. I. Williams: The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum. NIPS 2002: 367-374
33EEXiaojuan Feng, Christopher K. I. Williams, Stephen N. Felderhof: Combining Belief Networks and Neural Networks for Scene Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 467-483 (2002)
32 Christopher K. I. Williams: On a Connection between Kernel PCA and Metric Multidimensional Scaling. Machine Learning 46(1-3): 11-19 (2002)
31EEChristopher K. I. Williams, Felix V. Agakov: Products of Gaussians and Probabilistic Minor Component Analysis. Neural Computation 14(5): 1169-1182 (2002)
2001
30EEChristopher K. I. Williams, Felix V. Agakov, Stephen N. Felderhof: Products of Gaussians. NIPS 2001: 1017-1024
29EEFrancesco Vivarelli, Christopher K. I. Williams: Comparing Bayesian neural network algorithms for classifying segmented outdoor images. Neural Networks 14(4-5): 427-437 (2001)
2000
28 Christopher K. I. Williams, Matthias Seeger: The Effect of the Input Density Distribution on Kernel-based Classifiers. ICML 2000: 1159-1166
27EENicholas J. Adams, Amos J. Storkey, Christopher K. I. Williams, Zoubin Ghahramani: MFDTs: Mean Field Dynamic Trees. ICPR 2000: 3151-3154
26 Christopher K. I. Williams: On a Connection between Kernel PCA and Metric Multidimensional Scaling. NIPS 2000: 675-681
25 Christopher K. I. Williams, Matthias Seeger: Using the Nyström Method to Speed Up Kernel Machines. NIPS 2000: 682-688
24 Christopher K. I. Williams, Francesco Vivarelli: Upper and Lower Bounds on the Learning Curve for Gaussian Processes. Machine Learning 40(1): 77-102 (2000)
23EEIan T. Nabney, Dan Cornford, Christopher K. I. Williams: Bayesian inference for wind field retrieval. Neurocomputing 30(1-4): 3-11 (2000)
1999
22EEChristopher K. I. Williams: A MCMC Approach to Hierarchical Mixture Modelling. NIPS 1999: 680-686
1998
21EEGiancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper: Finite-Dimensional Approximation of Gaussian Processes. NIPS 1998: 218-224
20EEFrancesco Vivarelli, Christopher K. I. Williams: Discovering Hidden Features with Gaussian Processes Regression. NIPS 1998: 613-619
19EEChristopher K. I. Williams, Nicholas J. Adams: DTs: Dynamic Trees. NIPS 1998: 634-640
18EEDan Cornford, Ian T. Nabney, Christopher K. I. Williams: Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS 1998: 861-867
17EEChristopher K. I. Williams, David Barber: Bayesian Classification With Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1342-1351 (1998)
16 Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams: GTM: The Generative Topographic Mapping. Neural Computation 10(1): 215-234 (1998)
15 Christopher K. I. Williams: Computation with Infinite Neural Networks. Neural Computation 10(5): 1203-1216 (1998)
14EEChristopher M. Bishop, Markus Svensén, Christopher K. I. Williams: Developments of the generative topographic mapping. Neurocomputing 21(1-3): 203-224 (1998)
1997
13 Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop: Regression with Input-dependent Noise: A Gaussian Process Treatment. NIPS 1997
12EEChristopher K. I. Williams, Michael Revow, Geoffrey E. Hinton: Instantiating Deformable Models with a Neural Net. Computer Vision and Image Understanding 68(1): 120-126 (1997)
1996
11 Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams: GTM: A Principled Alternative to the Self-Organizing Map. ICANN 1996: 165-170
10EEChristopher K. I. Williams: Computing with Infinite Networks. NIPS 1996: 295-301
9EEDavid Barber, Christopher K. I. Williams: Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo. NIPS 1996: 340-346
8EEChristopher M. Bishop, Markus Svensén, Christopher K. I. Williams: GTM: A Principled Alternative to the Self-Organizing Map. NIPS 1996: 354-360
7EEMichael Revow, Christopher K. I. Williams, Geoffrey E. Hinton: Using Generative Models for Handwritten Digit Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 18(6): 592-606 (1996)
1995
6EEChristopher M. Bishop, Markus Svensén, Christopher K. I. Williams: EM Optimization of Latent-Variables Density Models. NIPS 1995: 465-471
5EEChristopher K. I. Williams, Carl Edward Rasmussen: Gaussian Processes for Regression. NIPS 1995: 514-520
4EERichard S. Zemel, Christopher K. I. Williams, Michael Mozer: Lending direction to neural networks. Neural Networks 8(4): 503-512 (1995)
1994
3EEChristopher K. I. Williams, Michael Revow, Geoffrey E. Hinton: Using a neural net to instantiate a deformable model. NIPS 1994: 965-972
1992
2EERichard S. Zemel, Christopher K. I. Williams, Michael Mozer: Directional-Unit Boltzmann Machines. NIPS 1992: 172-179
1991
1EEGeoffrey E. Hinton, Christopher K. I. Williams, Michael Revow: Adaptive Elastic Models for Hand-Printed Character Recognition. NIPS 1991: 512-519

Coauthor Index

1Nicholas J. Adams [19] [27] [36] [39]
2Felix V. Agakov [30] [31] [43] [57] [58]
3Moray Allan [46] [53]
4David Barber [9] [17]
5Tamara L. Berg [56]
6Christopher M. Bishop [6] [8] [11] [13] [14] [16] [53]
7Edwin V. Bonilla [57] [58]
8Miguel Á. Carreira-Perpiñán [42]
9John Cavazos [57] [58]
10Kian Ming Adam Chai [60]
11Olivier Chapelle [53]
12Dan Cornford [18] [23]
13Nello Cristianini [37] [38] [49]
14Navneet Dalal [53]
15Thomas Deselaers [53]
16Gyuri Dorkó [53]
17Stefan Duffner [53]
18Jan Eichhorn [53]
19Mark Everingham [53] [56]
20Jason D. R. Farquhar [53]
21Stephen N. Felderhof [30] [33]
22Xiaojuan Feng [33]
23Giancarlo Ferrari-Trecate [21]
24David A. Forsyth [56]
25Björn Franke [58]
26Mario Fritz [53]
27Grigori Fursin [58]
28Christophe Garcia [53]
29Zoubin Ghahramani [27]
30Paul W. Goldberg [13]
31Luc J. Van Gool [53]
32Tom Griffiths [53]
33Nigel C. Hambly [41]
34Martial Hebert [56]
35Geoffrey E. Hinton [1] [3] [7] [12]
36Dirk Husmeier [50] [54]
37Frédéric Jurie [53]
38Jaz S. Kandola [37] [38] [49]
39Daniel Keysers [53]
40Stefan Klanke [60]
41Markus Koskela [53]
42Jorma Laaksonen [53]
43Diane Larlus [53]
44Svetlana Lazebnik [56]
45Wolfgang P. Lehrach [50] [54]
46Bastian Leibe [53]
47Robert G. Mann [41]
48Marcin Marszalek [56]
49Neil McIntosh [52]
50Hongying Meng [53]
51Michael C. Mozer (Michael Mozer) [2] [4]
52Ian T. Nabney [18] [23]
53Hermann Ney [53]
54Michael F. P. O'Boyle [57] [58]
55Manfred Opper [21]
56Jean Ponce [56]
57John A. Quinn [52] [59]
58Carl Edward Rasmussen [5]
59Michael Revow [1] [3] [7] [12]
60Bryan C. Russell [56]
61Bernt Schiele [53]
62Cordelia Schmid [53] [56]
63Matthias Seeger [25] [28]
64Edgar Seemann [53]
65John Shawe-Taylor [34] [37] [38] [49] [53]
66Peter Sollich [45] [47]
67Amos J. Storkey [27] [40] [41] [53]
68Markus Svensén [6] [8] [11] [14] [16]
69Sándor Szedmák [53]
70John Thomson [57] [58]
71Michalis K. Titsias [35] [44] [51] [55]
72Antonio B. Torralba [56]
73Marc Toussaint [58]
74Bill Triggs [53]
75Ilkay Ulusoy [53]
76Ville Viitaniemi [53]
77Sethu Vijayakumar [60]
78Francesco Vivarelli [20] [24] [29]
79Max Welling [43]
80Richard S. Zemel [2] [4]
81Jianguo Zhang [53] [56]
82Andrew Zisserman [53] [56]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)