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Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring

IEEE transactions on pattern analysis and machine intelligence, 2009-09, Vol.31 (9), p.1537-1551

2009

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On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA

IEEE transactions on information theory, 2005-07, Vol.51 (7), p.2510-2522

2005

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Using Machine Learning to Focus Iterative Optimization

Code Generation and Optimization: Proceedings of the International Symposium on Code Generation and Optimization; 26-29 Mar. 2006, 2006, p.295-305

2006

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Combining belief networks and neural networks for scene segmentation

IEEE transactions on pattern analysis and machine intelligence, 2002-04, Vol.24 (4), p.467-483

2002

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Bayesian classification with Gaussian processes

IEEE transactions on pattern analysis and machine intelligence, 1998-12, Vol.20 (12), p.1342-1351

1998

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A new method of spike modelling and interval analysis

Journal of neuroscience methods, 2009-01, Vol.176 (1), p.45-56

2009

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Image modeling with position-encoding dynamic trees

IEEE transactions on pattern analysis and machine intelligence, 2003-07, Vol.25 (7), p.859-871

2003

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Using generative models for handwritten digit recognition

IEEE transactions on pattern analysis and machine intelligence, 1996-06, Vol.18 (6), p.592-606

1996

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Cleaning sky survey data bases using Hough transform and renewal string approaches

Monthly notices of the Royal Astronomical Society, 2004-01, Vol.347 (1), p.36-51

2004

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Signal masking in Gaussian channels

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.2989-2992

2008

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MFDTs: mean field dynamic trees

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.3, p.147-150 vol.3

2000

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Fast Unsupervised Greedy Learning of Multiple Objects and Parts from Video

2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004, p.179-179

2004

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Combining neural networks and belief networks for image segmentation

Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378), 1998, p.393-401

1998

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Magnification factors for the GTM algorithm

Fifth International Conference on Artificial Neural Networks, 1997, p.64-69

1997

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Using Bayesian neural networks to classify segmented images

Fifth International Conference on Artificial Neural Networks, 1997, p.268-273

1997

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Tree-structured belief networks as models of images

9th International Conference on Artificial Neural Networks: ICANN '99, 1999, p.31-36

1999

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SDTs: sparse dynamic trees

9th International Conference on Artificial Neural Networks: ICANN '99, 1999, p.527-532

1999

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On the relationship between Bayesian error bars and the input data density

4th International Conference on Artificial Neural Networks, 1995, p.160-165

1995

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Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring

On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA

Using Machine Learning to Focus Iterative Optimization

Combining belief networks and neural networks for scene segmentation

Bayesian classification with Gaussian processes

A new method of spike modelling and interval analysis

Image modeling with position-encoding dynamic trees

Using generative models for handwritten digit recognition

Cleaning sky survey data bases using Hough transform and renewal string approaches

Signal masking in Gaussian channels

MFDTs: mean field dynamic trees

Fast Unsupervised Greedy Learning of Multiple Objects and Parts from Video

Combining neural networks and belief networks for image segmentation

Magnification factors for the GTM algorithm

Using Bayesian neural networks to classify segmented images

Tree-structured belief networks as models of images

SDTs: sparse dynamic trees

On the relationship between Bayesian error bars and the input data density

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