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ICML
2009
IEEE
14 years 8 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
VTC
2007
IEEE
111views Communications» more  VTC 2007»
14 years 1 months ago
Analysis of a Spline Based, Obstacle Avoiding Path Planning Algorithm
—The Overbot is one of the original DARPA Grand Challenge vehicles now being used as a platform for autonomous vehicle research. The vehicle, equipped with a complete actuator an...
John Connors, Gabriel Elkaim
CVPR
1999
IEEE
13 years 12 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
PRL
2006
139views more  PRL 2006»
13 years 7 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
FS
2011
168views more  FS 2011»
12 years 11 months ago
Gamma expansion of the Heston stochastic volatility model
Abstract We derive an explicit representation of the transitions of the Heston stochastic volatility model and use it for fast and accurate simulation of the model. Of particular i...
Paul Glasserman, Kyoung-Kuk Kim