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» Function factorization using warped Gaussian processes
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NIPS
2004
13 years 6 months ago
Dependent Gaussian Processes
Gaussian processes are usually parameterised in terms of their covariance functions. However, this makes it difficult to deal with multiple outputs, because ensuring that the cova...
Phillip Boyle, Marcus R. Frean
NIPS
2007
13 years 6 months ago
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
We introduce a functional representation of time series which allows forecasts to be performed over an unspecified horizon with progressively-revealed information sets. By virtue...
Nicolas Chapados, Yoshua Bengio
DAGM
2010
Springer
13 years 6 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
ICIP
1999
IEEE
13 years 9 months ago
Compensation of Unidirectional Geometric Distortion in EPI Using Spline Warping
Due to magnetic field inhomogeneities, EPI images are geometrically distorted, predominantly along the phase-encoding direction. Currently, the distortion is either ignored or com...
Jan Kybic, Philippe Thévenaz, Michael Unser
NIPS
2008
13 years 6 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray