164 search results - page 13 / 33 » Heteroscedastic Gaussian process regression |
135
Voted
BMVC
2002
15 years 6 months ago
2002
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
145
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
106
Voted
IDEAL
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
178
Voted
ACCV
2010
Springer
14 years 10 months ago
2010
Springer
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
138
Voted
NIPS
2008
15 years 5 months ago
2008
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...