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» Incremental Probabilistic Inference
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ECCV
2008
Springer
14 years 10 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
ICIP
2003
IEEE
14 years 10 months ago
Navigating in Manhattan: 3D orientation from video without correspondences
The problem of inferring 3D orientation of a camera from video sequences has been mostly addressed by first computing correspondences of image features. This intermediate step is ...
André F. T. Martins, Mário A. T. Fig...
ICDE
2007
IEEE
192views Database» more  ICDE 2007»
14 years 10 months ago
APLA: Indexing Arbitrary Probability Distributions
The ability to store and query uncertain information is of great benefit to databases that infer values from a set of observations, including databases of moving objects, sensor r...
Vebjorn Ljosa, Ambuj K. Singh
WWW
2009
ACM
14 years 9 months ago
idMesh: graph-based disambiguation of linked data
We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities ? represented by globally identifiable declarative artifacts ...
Hermann de Meer, Karl Aberer, Michael Jost, Parisa...
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
14 years 9 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...