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STOC
2009
ACM
271views Algorithms» more  STOC 2009»
15 years 11 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
SMILE
1998
Springer
15 years 3 months ago
Tensor Embedding of the Fundamental Matrix
We revisit the bilinear matching constraint between two perspective views of a 3D scene. Our objective is to represent the constraint in the same manner and form as the trilinear ...
Shai Avidan, Amnon Shashua
IEICET
2007
142views more  IEICET 2007»
14 years 10 months ago
Detecting Unknown Worms Using Randomness Check
From the appearance of CodeRed and SQL Slammer worm, we have learned that the early detection of worm epidemics is important to reduce the damage caused by their outbreak. One prom...
Hyundo Park, Heejo Lee, Hyogon Kim
SLSFS
2005
Springer
15 years 4 months ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss
DAGSTUHL
2007
15 years 9 days ago
The Sinkhorn-Knopp Algorithm: Convergence and Applications
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the Sinkhorn-Knopp algorithm can be used to balance the matrix, that is, to find a diagonal sc...
Philip A. Knight