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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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CVPR
2009
IEEE
14 years 2 months ago
On compositional Image Alignment, with an application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositiona...
Brian Amberg, Andrew Blake, Thomas Vetter
CVPR
2009
IEEE
15 years 2 months ago
On Compositional Image Alignment with an Application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositional ...
Brian Amberg (University of Basel), Andrew Blake (...
TC
2008
13 years 7 months ago
The Convergence-Guaranteed Random Walk and Its Applications in Peer-to-Peer Networks
Network structure construction and global state maintenance are expensive in large-scale, dynamic peer-to-peer (p2p) networks. With inherent topology independence and low state mai...
Ming Zhong, Kai Shen, Joel I. Seiferas
SIAMCO
2002
71views more  SIAMCO 2002»
13 years 7 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
CCE
2004
13 years 7 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...