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In this paper, we turn the matching problem into a Markov Random Field (MRF) optimization problem and propose a fast and accurate image registration method based on message passing to screen out mismatches caused by the conventional SIFT-based algorithm.
Large-scale computations are made possible by a parallel implementation based on message passing.
Further, a parallel evolutionary mechanism based on message passing interface (MPI) is proposed to parallel the algorithm.
We propose a new scheduling algorithm, based on message passing and inspired by the belief propagation paradigm, meant to approximate the provably-optimal scheduling policy for multicast traffic.
This paper describes a general methodology for developing parallel image processing algorithms based on message passing for high resolution images (on the order of several Gigabytes).
Most of the available parallel implementations are based on message passing interface, relying on low failure rate hardware and fast network connection.
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Soft-decision decoding algorithms for LDPC codes are mostly iterative in nature and devised based on message-passing.
The proposed approach is based on message-passing distributed-memory architecture with separate workstations, and involves the piecewise analysis of power systems utilizing the network tearing procedure.
In other words, for a linear dynamic system, these approaches can be applied for location-estimation systems, and then a location tracking algorithm based on message-passing propagation can efficiently be cycled between the prediction and correction phases.
Three different parallel implementations of the proposed mathematical model have been developed; two of these implementations, i.e., the MPI and the PETSc codes, are based on a message passing paradigm, while the third one, i.e., the OpenMP code, is based on a shared space address paradigm.
Parallel program design of Yellow River 2D water-sand model was realized based on MPI(Message Passing Interface).
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