We introduce an extension of dynamic programming, we call "coarse-to-fine dynamic programming" (CFDP), ideally suited to DP problems with large state space.
Aug 28, 2000 · The essential idea of our algorithm is to form a series of coarse approximations to the orig- inal DP trellis by aggregating trellis states into ...
The essential idea of our algorithm is to form a series of coarse approximations to the orig- inal DP trellis by aggregating trellis states into "superstates." ...
CFDP uses dynamic programming to solve a sequence of coarse approximations which are lower bounds to the original DP problem. These approximations are developed ...
CFDP uses dynamic programming to solve a sequence of coarse approximations which are lower bounds to the original DP problem. These approximations are developed ...
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Mar 25, 2019 · "Coarse to Fine" usually refers to the hyperparameter optimization of a neural network during which you would like to try out different combinations of the ...
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We introduce an extension of dynamic programming (DP) we call Coarse-to-Fine Dynamic Programming (CFDP), ideally suited to DP problems with large state ...
Oct 22, 2024 · Coarse-To-Fine Dynamic Programming (CFDP) is a variation on DP that can be used in various kinds of optimization problems [22] . SpeciÞcally, it ...
In this section, we formulate an explicit coarse-to-fine dynamic programming algorithm for performing this minimization that employs the thinned Reed–Muller ...
Apr 5, 2008 · Christopher Raphael's Coarse-to-Fine Dynamic Programming technique can be used to find optimal paths on a trellis graph [4]. In our work, an ...