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ICML
2005
IEEE
15 years 11 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
89
Voted
IDA
2003
Springer
15 years 3 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ILP
2000
Springer
15 years 1 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
14 years 8 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
ISBI
2004
IEEE
15 years 11 months ago
A Bayesian Approach to Image Restoration
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, whi...
Andreas Wrangsjö, Hans Knutsson, Magnus Borga