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» GMRES Methods for Least Squares Problems
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GMP
2006
IEEE
131views Solid Modeling» more  GMP 2006»
14 years 1 months ago
Least-Squares Approximation by Pythagorean Hodograph Spline Curves Via an Evolution Process
The problem of approximating a given set of data points by splines composed of Pythagorean Hodograph (PH) curves is addressed. In order to solve this highly non-linear problem, we ...
Martin Aigner, Zbynek Sír, Bert Jüttle...
CIBCB
2005
IEEE
14 years 1 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
14 years 2 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
14 years 22 days ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak
ICASSP
2011
IEEE
12 years 11 months ago
Data driven model based least squares image reconstruction for radio astronomy
Image reconstruction problems in radio astronomy and other fields like biomedical imaging are often ill-posed and some form of regularization is required. This imposes user speci...
Stefan J. Wijnholds, Alle-Jan van der Veen