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» An FPGA Implementation for Solving Least Square Problem
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JVCA
2008
79views more  JVCA 2008»
13 years 7 months ago
Divergence-constrained moving least squares for fluid simulation
Developing suitable interpolation methods to simulate dynamic motions of continuous materials such as fluids is an important problem. In this paper, we propose a novel method to e...
Jeong-Mo Hong, Jong-Chul Yoon, Chang-Hun Kim
CVPR
2008
IEEE
14 years 9 months ago
Least squares surface reconstruction from measured gradient fields
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
Matthew Harker, Paul O'Leary
BMCBI
2005
131views more  BMCBI 2005»
13 years 7 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...
KES
2006
Springer
13 years 7 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
JAIR
2002
163views more  JAIR 2002»
13 years 6 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu