Report
| Date
| Title
|
EDI-INF-RR-1228
| Dec 2007
| A Note on Noise-free Gaussian Process Prediction with Separable Covariance Functions and Grid Designs
|
EDI-INF-RR-1177
| Mar 2006
| Using Machine Learning to Focus Iterative Optimization
|
EDI-INF-RR-1089
| Mar 2006
| Using Machine Learning to Focus Iterative Optimization
|
EDI-INF-RR-1036
| 2001
| Using the Nystroem Method to Speed Up Kernel Machines
|
EDI-INF-RR-1015
| Mar 2006
| Using Machine Learning to Focus Iterative Optimization.
|
EDI-INF-RR-0887
| Jan 2006
| Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
|
EDI-INF-RR-0719
| Jan 2006
| On a Connection between Object Localization with a Generative Template of Features and Pose-space Prediction Methods
|
EDI-INF-RR-0583
| 2006
| Gaussian Processes for Machine Learning
|
EDI-INF-RR-0383
| 2003
| Dynamic Trees for Image Modelling
|
EDI-INF-RR-0382
| 2005
| On the Eigenspectrum of the Gram Matrix and the Generalization Error of Kernel PCA
|
EDI-INF-RR-0381
| 2002
| On a Connection between Kernel PCA and Metric Multidimensional Scaling
|
EDI-INF-RR-0362
| 2004
| Cleaning Sky Survey Databases using Hough Transform and Renewal String Approaches
|
EDI-INF-RR-0361
| 2003
| Image modelling with position-encoding dynamic trees
|
EDI-INF-RR-0318
| Aug 2005
| An Expectation Maximisation Algorithm for One-to-Many Record Linkage, Illustrated on the Problem of Matching Far Infra-Red Astronomical Sources to Optical Counterparts
|
EDI-INF-RR-0259
| May 2004
| Greedy Learning of Multiple Objects in Images using Robust Statistics and Factorial Learning
|
EDI-INF-RR-0185
| Dec 2003
| An isotropic Gaussian mixture can have more modes than components
|
EDI-INF-RR-0159
| Feb 2003
| On the Number of Modes of a Gaussian Mixture
|
EDI-INF-RR-0120
| May 2002
| An Analysis of Contrastive Divergence Learning in Gaussian Boltzmann Machines
|
EDI-INF-RR-0043
| Jul 2001
| Products of Gaussians and Probabilistic Minor Component Analysis
|