1880 search results - page 124 / 376 » Bayesian Clustering by Dynamics |
119
Voted
NECO
2002
15 years 3 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
139
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PAKDD
2009
ACM
15 years 11 months ago
2009
ACM
Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...
155
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
137
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
109
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KI
2009
Springer
15 years 10 months ago
2009
Springer
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...