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ICASSP
2011
IEEE
14 years 1 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
ISMDA
2004
Springer
15 years 2 months ago
Model Selection and Adaptation for Biochemical Pathways
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
Rüdiger W. Brause
ICCV
2009
IEEE
14 years 7 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
TIP
1998
162views more  TIP 1998»
14 years 9 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
3DPVT
2004
IEEE
116views Visualization» more  3DPVT 2004»
15 years 1 months ago
Real-Time, Accurate Depth of Field using Anisotropic Diffusion and Programmable Graphics Cards
Computer graphics cameras lack the finite Depth of Field (DOF) present in real world ones. This results in all objects being rendered sharp regardless of their depth, reducing the...
Marcelo Bertalmío, Pere Fort, Daniel S&aacu...