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» Model Selection and Error Estimation
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119
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GECCO
2003
Springer
15 years 9 months ago
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Abstract. This paper presents a theoretical study of the selection pressure in asynchronous cellular evolutionary algorithms (cEAs). This work is motivated by the search for a gene...
Mario Giacobini, Enrique Alba, Marco Tomassini
ECCV
2000
Springer
16 years 5 months ago
Model Based Pose Estimator Using Linear-Programming
Given a ? object and some measurements for points in this object, it is desired to find the ? location of the object. A new model based pose estimator from stereo pairs based on l...
Moshe Ben-Ezra, Shmuel Peleg, Michael Werman
TSP
2010
14 years 10 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
142
Voted
TMI
2010
158views more  TMI 2010»
14 years 10 months ago
Estimation of Diffusion Properties in Crossing Fiber Bundles
Abstract--There is an ongoing debate on how to model diffusivity in fiber crossings. We propose an optimization framework for the selection of a dual tensor model and the set of di...
Matthan W. A. Caan, Ganesh Khedoe, Dirk H. J. Poot...
TSP
2012
13 years 11 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero