Optimization transfer using surrogate objective functions
The well-known EM algorithm is an optimization transfer algorithm that depends on the
notion of incomplete or missing data. By invoking convexity arguments, one can construct a …
notion of incomplete or missing data. By invoking convexity arguments, one can construct a …
Parallelizable Bayesian tomography algorithms with rapid, guaranteed convergence
J Zheng, SS Saquib, K Sauer… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
Bayesian tomographic reconstruction algorithms generally require the efficient optimization
of a functional of many variables. In this setting, as well as in many other optimization tasks …
of a functional of many variables. In this setting, as well as in many other optimization tasks …
[Optimization Transfer Using Surrogate Objective Functions]: Rejoinder
We are grateful to Kiers for discussing the optimization of a quadratic matrix trace function. In
our view, this example fits easily within the scope of our article. Kiers' objective function f …
our view, this example fits easily within the scope of our article. Kiers' objective function f …
[图书][B] The generalized borrowed strength method and the application to image recognition
P Tao - 2000 - search.proquest.com
Our research goal is to develop a new, efficient spatial scan analysis method for image
analysis problems such as automatic target recognition. In this method, the local probability …
analysis problems such as automatic target recognition. In this method, the local probability …