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Parallel and deterministic algorithms from MRFs: Surface reconstruction and integration

https://doi.org/10.1007/bfb0014854
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bfb0014854openalex-snapshot
Parallel and deterministic algorithms from MRFs: Surface reconstruction and integration
inferredcites →https://doi.org/10.1016/0010-4485(88)90287-4openalex-snapshot
Proceedings: Image Understanding Workshop
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Equation of State Calculations by Fast Computing Machines
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Analog "neuronal" networks in early vision.
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Probabilistic Solution of Ill-Posed Problems in Computational Vision
inferredcites →https://doi.org/10.1109/21.44072openalex-snapshot
Integration of vision modules and labeling of surface discontinuities
inferredcites →https://doi.org/10.1109/5.5962openalex-snapshot
Ill-posed problems in early vision
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
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Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
inferredcites →https://doi.org/10.21236/ada202747openalex-snapshot
An Optimal Scale for Edge Detection
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Solutions of Ill-Posed Problems.
inferredcites →https://doi.org/10.7551/mitpress/7132.001.0001openalex-snapshot
Visual Reconstruction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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