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» GMRES Methods for Least Squares Problems
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ISBI
2004
IEEE
14 years 9 months ago
Cortical Surface Flattening Using Least Square Conformal Mapping with Minimal Metric Distortion
Although flattening a cortical surface necessarily introduces metric distortion due to the non-constant Gaussian curvature of the surface, the Riemann Mapping Theorem states that ...
Lili Ju, Josh Stern, Kelly Rehm, Kirt Schaper, Dav...
SCALESPACE
2007
Springer
14 years 2 months ago
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
This is a theoretical study on the minimizers of cost-functions composed of an ℓ2 data-fidelity term and a possibly nonsmooth or nonconvex regularization term acting on the di...
Mila Nikolova
BMCBI
2005
131views more  BMCBI 2005»
13 years 8 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
AAAI
2006
13 years 10 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
SIAMSC
2011
177views more  SIAMSC 2011»
13 years 3 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad