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ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
14 years 2 months ago
Inverse Kinematics without matrix inversion
– This paper presents a new singularity robust and computationally efficient method for solving the inverse kinematics (IK) problem. In this method, the transformation from Carte...
Alexandre N. Pechev
ICCV
2009
IEEE
15 years 19 days ago
Tensor completion for estimating missing values in visual data
In this paper we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process, or because the ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...
JCPHY
2011
109views more  JCPHY 2011»
12 years 10 months ago
Fast construction of hierarchical matrix representation from matrix-vector multiplication
We develop a hierarchical matrix construction algorithm using matrixvector multiplications, based on the randomized singular value decomposition of low-rank matrices. The algorith...
Lin Lin, Jianfeng Lu, Lexing Ying
CVPR
2008
IEEE
14 years 9 months ago
Spectrally optimal factorization of incomplete matrices
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 1 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin