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PAMI
2008
145views more  PAMI 2008»
15 years 23 days ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
ICASSP
2011
IEEE
14 years 4 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
IJCV
2000
161views more  IJCV 2000»
15 years 19 days ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
TPDS
2010
154views more  TPDS 2010»
14 years 7 months ago
Adaptive Workload Prediction of Grid Performance in Confidence Windows
Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to pr...
Yongwei Wu, Kai Hwang, Yulai Yuan, Weimin Zheng
CORR
2010
Springer
129views Education» more  CORR 2010»
15 years 12 days ago
Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error
Consider the minimum mean-square error (MMSE) of estimating an arbitrary random variable from its observation contaminated by Gaussian noise. The MMSE can be regarded as a function...
Dongning Guo, Yihong Wu, Shlomo Shamai, Sergio Ver...