VDI Verlag eLibrary

Graphical Model MAP Inference with Continuous Label Space in Computer Vision

Oliver Müller

Series: Informatik/ Kommunikation

Volume 860 2018

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„… – Markov-chain Monte-Carlo – Slice-Sampling – Produkt-Slice-Sampling – Artikulierte Objektverfolgung – Visuelle …” „… IDE developed by MathWorks MCMC Markov chain Monte-Carlo MH Metropolis-Hastings MH-PBP …” „… models, MAP inference, Markov-chain Monte-Carlo, slice sampling, product slice sampling, articulated …”

Fundamentals S. 25-55

„… + αn(y ∗ τ − 1 |T | ∑ τ ′∈T y∗τ ′). (3.47) 3.4 Markov Chain Monte-Carlo Methods 45 The choice of the step …” „… Markov Chain Monte-Carlo Methods In the following, first the idea of Monte-Carlo simulation is briefly …” „… introduced, followed by Markov chain Monte-Carlo (MCMC) simulation (see [122, 3] for an in-depth introduction …”

Introduction S. 1-14

„… methods based on Markov chain Monte-Carlo (MCMC) simulation [3, 88] are applied for MAP inference in PGMs …” „… Metropolis-Hastings (MH) Markov chain Monte Carlo (MCMC) methods which involves sampling from a proposal distribution …” „… particle sampling procedure. Usually, heuristic sampling or Metropolis-Hastings based Markov chain Monte …”

Bibliography S. 128-146

„… ] Antonietta Mira. Ordering, Slicing and Splitting Monte Carlo Markov Chains. PhD thesis, University of …” „… . Foundations and Trends in Machine Learning, 1(1-2):1–305, 2008. [118] B. Walsh. Markov chain monte carlo and …” „… Markov Chain Monte Carlo Methods: A Mathematical Introduction, volume 27 of Stochastic Modelling and …”

Stochastic Inference in Probabilistic Graphical Models S. 56-77

„… distribution a priori (otherwise, MAP inference would become trivial). The Markov chain Monte-Carlo (MCMC …” „… sampling of the initial particles causes high odds of initializing the Markov chain in a poor initial state …” „… high-dimensional MCMC chain, the hybrid approach leads to a large number of low-dimensional (decoupled and parallel …”

doi.org/10.51202/9783186860101

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Messunsicherheit praxisgerecht bestimmen – Prüfprozesse in der industriellen Praxis 2023

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2428 2023

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J. Staněk, S. Král, L. Fusková Estimation of Measurement Uncertainty Through – Comparative Measurements with Variable Measured Object S. 295-310

„… Markov Chain Monte Carlo (MCMC) with Metropolis–Hastings algorithm, the study undertakes parameter …” „… and Markov Chain Monte Carlo (MCMC). 3.1 Bootstrapping Algorithm This method involves resampling from …” „… Metropolis–Hastings algorithm The Markov Chain Monte Carlo method, specifically employing the Metropolis–Hastings …”

S. Cramer, R. H. Schmitt AI-based Predictive Quality Methods: Possibilities and Achievements of the Virtual Measurement Using Real-World Examples S. 329-XVI

„… such as Variational Inference or Markov-Chain-Monte-Carlo Sampling to solve the intractable integral …” „… 𝑤|𝒟 are the Markov-Chain-Monte-Carlo algorithm (MCMC) and Variational Inference (VI). In the …” „… testing can also unlock diverse value-adding potentials within a digitized process chain. Through an …”

doi.org/10.51202/9783181024287

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Dritev 2023

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2420 2023

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Z. Liu, S. Rinderknecht A sequential adaptive sampling strategy for surrogate model construction of transmission losses S. 425-440

„… using Markov chain Monte Carlo methods. 1993 [14] Crombecq, K., Laermans, E. u. Dhaene, T.: Efficient …” „… Chain Monte Carlo (MCMC) [13]. From this, VDI-Berichte Nr. 2420, 2023432the essence of Subset Simulation …” „… probability 𝑝 . By using Monte Carlo Simulation (MCS) [12], the first intermedi-ate threshold 𝑎 is …”

doi.org/10.51202/9783181024201

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Netzstützendes Verhalten verteilter Erzeuger im Niederspannungsnetz

René Dietz

Series: Berichte aus dem IAL

Volume 02/2024 2024

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Literaturverzeichnis S. 143-154

„… : 10.1109/PES.2007.386042.[14] P. Bremaud. Markov Chains. Springer New York, 2013. ISBN 978-1-4757-3124-8 …” „… /pierre_bremaud_markov_chains.html.[15] Erneuerbare Energien in Zahlen - Nationale und internationale Entwicklung imJahr 2014 …” „… . Gordon, editors. Sequential Monte Carlo Methods inPractice. Springer New York, New York, NY und 2001 …”

doi.org/10.51202/9783959009232

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Game Content Generation from a Single Example

Maren Awiszus

Series: Informatik/ Kommunikation

Volume 880 2023

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State of the Art S. 13-22

„… SMBlevels iteratively. Extending upon the idea of using Markov Chains, Sum-merville et al. [132] use Monte …” „… be used in a pattern-based generator.Snodgrass and Ontañón [126, 127] use markov chains to generate …” „… ] Markov Chain Neural NetworksIn this work we present a modified neural network model which iscapable to …”

Bibliography S. 111-130

„… ] M. Awiszus and B. Rosenhahn. “Markov Chain Neural Networks.”In: 2018, pp. 2180–2187.[8] M. Awiszus …” „… Computing Machinery, 2020.[33] P. A. Gagniuc. Markov chains: from theory to implementation …” „… using markov chains.” In: Proceedings of the AAAIConference on Artificial Intelligence and Interactive …”

doi.org/10.51202/9783186880109

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Grid-Based Object Tracking

Sascha Steyer

Series: Mess-, Steuerungs- und Regelungstechnik

Volume 1272 2021

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Bibliography S. 170-186

„… chain Monte Carlo. In Proc. IEEE Int. Conf. Robot. Autom., pages 3800–3806, 2009. [135] T.-D. Vu, O …” „… Monte Carlo Bayesian occupancy filter. In Proc. IEEE Intell. Veh. Symp., pages 1074–1081, 2015. [89 …” „… ., 49(4):2666– 2678, Oct. 2013. [101] L. Rummelhard, A. Nègre, and C. Laugier. Conditional Monte Carlo Dense …”

doi.org/10.51202/9783186272089

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Bayesian Environment Representation, Prediction, and Criticality Assessment for Driver Assistance Systems

Matthias Schreiner

Series: Verkehrstechnik/Fahrzeugtechnik

Volume 797 2016

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Bibliography S. 221-254

„… Objects Using Data-Driven Markov Chain Monte Carlo. In Proc. of the IEEE International Conference on …” „… Transportation Systems, 11(3):658–669, Sept. 2010. [45] A. Broadhurst, S. Baker, and T. Kanade. Monte Carlo Road …” „… Thread Assessment for General Road Scenes Using Monte Carlo Sampling. IEEE Transactions on Intelligent …”

Prediction and Criticality Assessment S. 132-191

„… motions of all vehicles. Different combinations of future system inputs are considered via Monte Carlo …” „… other vehicles along their paths are abstracted into discrete Markov chains, the lateral positions are …” „… . The complete Markov chain is then decomposed and submodels are extracted. Submodels corresponding to …”

Bayesian Inference for Nonlinear Filtering Tasks S. 18-66

„… states. • Particle Filters (PF) (Sequential Monte Carlo Methods) [8, 69, 90] approximate the posterior …” „… . • Rao-Blackwellized Particle Filters (RBPF) [68] use Monte Carlo integration for only a subset of state variables …” „… system among the r models is supposed to obey a first-order Markov chain with time-invariant Markovian …”

doi.org/10.51202/9783186797124

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