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AMDO
2008
Springer
13 years 10 months ago
A Generative Model for Motion Synthesis and Blending Using Probability Density Estimation
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Dumebi Okwechime, Richard Bowden
PRL
1998
98views more  PRL 1998»
13 years 8 months ago
Density propagation for surface tracking
This paper describes a novel approach to surface tracking in volumetric image stacks. It draws on a statistical model of the uncertainties inherent in the characterisation of feat...
Nigel G. Sharp, Edwin R. Hancock
ACCV
2010
Springer
13 years 3 months ago
Saliency Density Maximization for Object Detection and Localization
Accurate localization of the salient object from an image is a difficult problem when the saliency map is noisy and incomplete. A fast approach to detect salient objects from image...
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
SAC
2002
ACM
13 years 8 months ago
Option pricing under model and parameter uncertainty using predictive densities
The theoretical price of a financial option is given by the expectation of its discounted expiry time payoff. The computation of this expectation depends on the density of the val...
F. Oliver Bunnin, Yike Guo, Yuhe Ren
IPPS
1998
IEEE
14 years 29 days ago
Random Sampling Techniques in Parallel Computation
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...
Rajeev Raman