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» Bases for parametrized iterativity
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UAI
2001
14 years 10 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
LICS
2005
IEEE
15 years 3 months ago
Generalizing Parametricity Using Information-flow
Run-time type analysis allows programmers to easily and concisely define operations based upon type structure, such as serialization, iterators, and structural equality. However,...
Geoffrey Washburn, Stephanie Weirich
ICCV
2009
IEEE
16 years 2 months ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
87
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IPMI
2005
Springer
15 years 3 months ago
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration
Many types of transformations are used to model deformations in medical image registration. While some focus on modeling local changes, some on continuity and invertibility, there ...
Ramkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin...
ANOR
2004
143views more  ANOR 2004»
14 years 9 months ago
Model Independent Parametric Decision Making
Accurate knowledge of the effect of parameter uncertainty on process design and operation is essential for optimal and feasible operation of a process plant. Existing approaches de...
Ipsita Banerjee, Marianthi G. Ierapetritou