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» A Practical Method for the Sparse Resultant
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IJCNN
2008
IEEE
14 years 3 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
ICRA
2003
IEEE
112views Robotics» more  ICRA 2003»
14 years 2 months ago
Cartesian impedance control of redundant robots: recent results with the DLR-light-weight-arms
— This paper addresses the problem of impedance control for flexible joint robots based on a singular perturbation approach. Some aspects of the impedance controller, which turn...
Alin Albu-Schäffer, Christian Ott, Udo Frese,...
EOR
2007
84views more  EOR 2007»
13 years 9 months ago
The multi-layered network design problem
act 11 We address the problem of designing a network built on several layers. This problem occurs in practical applications 12 but has not been studied extensively from the point o...
Arnaud Knippel, Benoit Lardeux
CVPR
2010
IEEE
14 years 5 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 6 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell