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A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices

Richard Sinkhorn
- 01 Jun 1964 - 
- Vol. 35, Iss: 2, pp 876-879
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This article is published in Annals of Mathematical Statistics.The article was published on 1964-06-01 and is currently open access. It has received 1004 citations till now. The article focuses on the topics: Matrix (mathematics) & Doubly stochastic matrix.

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A new point matching algorithm for non-rigid registration

TL;DR: An algorithm--the TPS-RPM algorithm--with the thin-plate spline (TPS) as the parameterization of the non-rigid spatial mapping and the softassign for the correspondence is developed.
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Computational Optimal Transport

TL;DR: This short book reviews OT with a bias toward numerical methods and their applications in data sciences, and sheds lights on the theoretical properties of OT that make it particularly useful for some of these applications.
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The concave-convex procedure

TL;DR: It is proved that all expectation-maximization algorithms and classes of Legendre minimization and variational bounding algorithms can be reexpressed in terms of CCCP.
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A graduated assignment algorithm for graph matching

TL;DR: A graduated assignment algorithm for graph matching is presented which is fast and accurate even in the presence of high noise, and not restricted to any special class of graph, is applied to subgraph isomorphism, weighted graph matching, and attributed relational graph matching.
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Concerning nonnegative matrices and doubly stochastic matrices

TL;DR: In this article, the condition for the convergence to a doubly stochastic limit of a sequence of matrices obtained from a nonnegative matrix A by alternately scaling the rows and columns of A was studied.
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Book

Finite Markov chains

TL;DR: This lecture reviews the theory of Markov chains and introduces some of the high quality routines for working with Markov Chains available in QuantEcon.jl.
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