– 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...
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...
We develop a hierarchical matrix construction algorithm using matrixvector multiplications, based on the randomized singular value decomposition of low-rank matrices. The algorith...
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...
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...