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Use of Monte Carlo Modified Markov Chains in Capacity Planning

Radim Špicar, Martin Januška
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i4djr4tgnbobnjegejzpw7nny" style="color: black;">Procedia Engineering</a> </i> &nbsp;
The purpose of the paper is to demonstrate the use of Monte Carlo modified Markov chains in capacity planning.  ...  After a brief review of available literature on the subject of Monte Carlo simulations and Markov chains, the benefits of this method are illustrated on a practical example, where demand as well as the  ...  Acknowledgements This paper was created as a part of the SGS-2014-040 project Modern approaches to innovation, entrepreneurship and management.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.proeng.2015.01.454">doi:10.1016/j.proeng.2015.01.454</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bqn6z7aa5zfglhkcymblvjtm5y">fatcat:bqn6z7aa5zfglhkcymblvjtm5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808102103/http://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2014/119.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/03/5a039768566f859688e78e0fa24c3ef298c780f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.proeng.2015.01.454"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Segmenting Multiple Objects with Overlapping Appearance and Uncertainty

M. Seise, S. J. McKenna, I. W. Ricketts, C. Wigderowitz
<span title="">2006</span> <i title="British Machine Vision Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bfo5625nvdfvbgyf7ldi5wmfe" style="color: black;">Procedings of the British Machine Vision Conference 2006</a> </i> &nbsp;
Markov chain Monte Carlo methods are used to obtain samples from a posterior distribution over model parameters from which expectations can be estimated.  ...  A probabilistic method is proposed for segmentation of multiple objects that overlap or are in close proximity to one another.  ...  Sampling the Posterior with Markov Chain Monte Carlo Markov chain Monte Carlo (MCMC) methods are used to generate samples from a target distribution π(x) and subsequently to estimate expectations of functions  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.20.86">doi:10.5244/c.20.86</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bmvc/SeiseMRW06.html">dblp:conf/bmvc/SeiseMRW06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zxtq3dvsfzf6dht6yqebs6izbe">fatcat:zxtq3dvsfzf6dht6yqebs6izbe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809134851/http://staff.computing.dundee.ac.uk/stephen/bmvc2006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/e1/b3e153aa19d234d66ea5dd403e5b5a03556bace3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.20.86"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A GRAPH BASED MODEL FOR THE DETECTION OF TIDAL CHANNELS USING MARKED POINT PROCESSES

A. Schmidt, F. Rottensteiner, U. Soergel, C. Heipke
<span title="2015-08-19">2015</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
The graph is iteratively generated and fitted to the data using stochastic optimization based on a Reversible Jump Markov Chain Monte Carlo (RJMCMC) sampler and simulated annealing.  ...  In this model we favour high DTM gradient magnitudes at the edge borders and penalize a graph configuration consisting of non-connected components, overlapping segments and edges with atypical intersection  ...  Environment, Energy, and Climate Protection as well as the Ministry of Science and Culture of Lower Saxony for the financing of this work within the project WIMO (Scientific monitoring concepts for the model  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xl-3-w3-115-2015">doi:10.5194/isprsarchives-xl-3-w3-115-2015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/64bmsd4xwrez3fq2y76mnsj7di">fatcat:64bmsd4xwrez3fq2y76mnsj7di</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812141919/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/115/2015/isprsarchives-XL-3-W3-115-2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/aa/23aa852877a85413ad6382334873a2c47ed88dcd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xl-3-w3-115-2015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Riverine nitrate source apportionment using dual stable isotopes in a drinking water source watershed of southeast China

Xu Shang, Hong Huang, Kun Mei, Fang Xia, Zheng Chen, Yue Yang, Randy A. Dahlgren, Minghua Zhang, Xiaoliang Ji
<span title="2020-03-16">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mnx2gvhrkjegbonn36api4zcwe" style="color: black;">Science of the Total Environment</a> </i> &nbsp;
To achieve this goal, we used hydrochemistry parameters and stable isotopes of NO3- (δ15N-NO3- and δ18O-NO3-) accompanied with a Markov Chain Monte Carlo mixing model to estimate the proportional contributions  ...  Riverine NO3- source apportionment results were further refined using the Markov Chain Monte Carlo mixing model, which revealed that AD, NF, SN and M&S contributed 7.6 ± 4.1%, 22.5 ± 12.8%, 27.4 ± 14.5%  ...  Chain Monte Carlo mixing models; and (2) investigate the uncertainty associated with Markov Chain Monte Carlo mixing model estimates.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.scitotenv.2020.137975">doi:10.1016/j.scitotenv.2020.137975</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32247143">pmid:32247143</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qeh4c3boyrbd5bez5pzxxvshle">fatcat:qeh4c3boyrbd5bez5pzxxvshle</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428213642/https://escholarship.org/content/qt93z559zc/qt93z559zc.pdf?t=qhxp3x" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/6b/776b02dcb265bacc2595b7415b162e5cfb417ebf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.scitotenv.2020.137975"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

In Vivo Confocal Imaging of Fluorescently Labelled Microbubbles: Implications for Ultrasound Localization Microscopy

Matthew R. Lowerison, Chengwu Huang, Yohan Kim, Fabrice Lucien, Shigao Chen, Pengfei Song
<span title="2020-04-15">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tmpncrq4lfd25oyfnzmop7odyq" style="color: black;">IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control</a> </i> &nbsp;
Monte Carlo random walk simulations found perfusion times ranging from 24.5 seconds for unbiased Markov chains up to 182 seconds for heterogeneous flow distributions.  ...  We then modeled the capillary network as an empirically determined discrete-time Markov chain with adjustable microbubble transition probabilities though individual capillaries.  ...  We then modeled this capillary bed as an empirically determined discrete-time Markov chain network and estimated perfusion times using a Monte Carlo random-walk simulation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tuffc.2020.2988159">doi:10.1109/tuffc.2020.2988159</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32305910">pmid:32305910</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7483886/">pmcid:PMC7483886</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xesy7rizvbarnncpp5ql3y6eoq">fatcat:xesy7rizvbarnncpp5ql3y6eoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108145957/https://ieeexplore.ieee.org/ielx7/58/9178828/09068283.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/15/7b/157bcb0798b524661a4a74b630445c82fe3a32ff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tuffc.2020.2988159"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7483886" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Efficient human pose estimation via parsing a tree structure based human model

Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weiming Hu, Steve Maybank, Yimin Zhang
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/753trptklbb4nj6jquqadzwwdu" style="color: black;">2009 IEEE 12th International Conference on Computer Vision</a> </i> &nbsp;
First, we design two efficient Markov Chain dynamics under the data-driven Markov Chain Monte Carlo (DDM-CMC) framework to effectively explore the complex solution space.  ...  Human pose estimation is the task of determining the states (location, orientation and scale) of each body part.  ...  In [7] , a test shape is matched to each stored exemplar in 2D view, using the technique of shape context matching [18] in conjunction with a kinematic chain-based deformation model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2009.5459306">doi:10.1109/iccv.2009.5459306</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccv/ZhangLTHMZ09.html">dblp:conf/iccv/ZhangLTHMZ09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4deld4nzcrgdvebbz3mzqlpfv4">fatcat:4deld4nzcrgdvebbz3mzqlpfv4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130127183059/http://nlpr-web.ia.ac.cn/2009papers/gjhy/gh50.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/52/2652ee73ea5217d3233a7de7a72eb7b19f1207f7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2009.5459306"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Methods for Computing Numerical Standard Errors: Review and Application to Value-at-Risk Estimation

David Ardia, Keven Bluteau, Lennart F. Hoogerheide
<span title="2018-07-21">2018</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iouhioag3zeofbkllq4xxbt6gi" style="color: black;">Journal of Time Series Econometrics</a> </i> &nbsp;
We review standard methods for computing NSE and perform a Monte Carlo experiments to compare their performance in the case of high/extreme autocorrelation.  ...  In particular, we propose an application to risk management where we assess the precision of the value-at-risk measure when the underlying risk model is estimated by simulation-based methods.  ...  Acknowledgements All analyses have been performed in the R statistical language (Core Team 2015) with the package nse (Ardia and Bluteau 2017) available at https://github.com/keblu/nse.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jtse-2017-0011">doi:10.1515/jtse-2017-0011</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/obzc43rr4jbsbjeiuxrzwz64se">fatcat:obzc43rr4jbsbjeiuxrzwz64se</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427094938/https://research.vu.nl/ws/files/120178784/Methods_for_Computing_Numerical_Standard_Errors_Review_and_Application_to_ValueAtRisk_Estimation.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c9/e2/c9e2a3beca84468860a29783eb13b14eda8ed34e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jtse-2017-0011"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> degruyter.com </button> </a>

COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES

D. Chai, W. Förstner, M. Ying Yang
<span title="2012-07-23">2012</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhzu63ehjfe2dbswnsdfm5vlba" style="color: black;">ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
We adopt reversible jump Markov Chain Monte Carlo (RJMCMC) techniques to explore the configuration space at the high level, and adopt a Graph Cut algorithm to optimize configuration at the low level.  ...  We propose to combine Markov random fields and marked point processes to represent both low-level information and high-level knowledge, and present a combined framework of modelling and estimation for  ...  Given a proposed model, reversible jump Markov Chain Monte-Carlo (Green, 1995) can be adopted to explore the configuration space and annealing schema can be adopted to simulate the objective distribution  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-i-3-365-2012">doi:10.5194/isprsannals-i-3-365-2012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/su3b4lmhi5h5dpsrrvxkxgdv5m">fatcat:su3b4lmhi5h5dpsrrvxkxgdv5m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705122058/http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/365/2012/isprsannals-I-3-365-2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/5b/235bdc2abb2a6f7410abdb2f444595f7ee2a1ecc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-i-3-365-2012"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Long-Term Online Multiface Tracking using Kalman Filter

Deepthi S, Dr. Dinakar Das C. N
<span title="2015-09-23">2015</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
This paper gives a brief analysis of recent long-term online multi-face tracking algorithms based on Markov model and Kalman filtering.  ...  Markov chain Monte Carlo(MCMC) Markov chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from probability distributions based on constructing a Markov chain that has the desired distribution  ...  Reversible-jump Markov Chain Monte Carlo Reversible-jump Markov chain Monte Carlo [10] is a grant to standard Markov chain Monte Carlo (MCMC) procedure that permits replication of the posterior distribution  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv4is090488">doi:10.17577/ijertv4is090488</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x7nquobte5c4tpkdpwkymh6cvm">fatcat:x7nquobte5c4tpkdpwkymh6cvm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323230010/https://www.ijert.org/research/long-term-online-multiface-tracking-using-kalman-filter-IJERTV4IS090488.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9c/30/9c30f41bfda9cd092e4e8c5a8cb565e46ac745b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv4is090488"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Configurational bias Monte Carlo: a new sampling scheme for flexible chains

Jörn Ilja Siepmann, Daan Frenkel
<span title="">1992</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i7q5dvut3raxlm5na3nizmdb3e" style="color: black;">Molecular Physics</a> </i> &nbsp;
A new type of Monte Carlo move is introduced that makes it possible to carry out large scale conformational changes of the chain molecule in a single trial move.  ...  As an illustration, we compare the results of a calculation of mean-square end to end lengths for single chains on a two-dimensional square lattice with corresponding data gained from other simulations  ...  ., 88, 1298) in which a simple version of the configurational-bias MC method on a lattice is used. We thank Dr H. Stettin for bringing this paper to our attention.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/00268979200100061">doi:10.1080/00268979200100061</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y6gpsfuuwjfphjjt66ddm3hdl4">fatcat:y6gpsfuuwjfphjjt66ddm3hdl4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310023125/https://dspace.library.uu.nl/bitstream/handle/1874/9769/frenkel_92_configurational_montecarlo.pdf;jsessionid=D049CAB7E8695BAE138F816DAB8C216E?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/32/6f/326f6f3a94d7b098f1a026e4f97c302823b40282.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/00268979200100061"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>

Learning undirected graphical models using persistent sequential Monte Carlo

Hanchen Xiong, Sandor Szedmak, Justus Piater
<span title="2016-04-01">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
models (UGMs) with sampling-based approximations.  ...  Moreover, we apply the rationale further in sampling at each iteration, and propose to learn UGMs using persistent sequential Monte Carlo (PSMC).  ...  Markov chain Monte Carlo maximum likelihood A practically-feasible approximation of (3) is Markov chain Monte Carlo maximum likelihood (MCMCML; Geyer 1991).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-016-5564-x">doi:10.1007/s10994-016-5564-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e2yidtsijvey5k2pkkypkdibrq">fatcat:e2yidtsijvey5k2pkkypkdibrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030064920/https://link.springer.com/content/pdf/10.1007%2Fs10994-016-5564-x.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/ab/bcab8af242a939a69970b68bd1c54600bc4b9c41.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-016-5564-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Distribution function of the end-to-end distances of linear polymers with excluded volume effects

Jacob Mazur
<span title="">1965</span> <i title="National Institute of Standards and Technology (NIST)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qg73itbi6vctbmmls3o2hqxl4m" style="color: black;">Journal of Research of the National Bureau of Standards Section A Physics and Chemistry</a> </i> &nbsp;
a Monte Carlo technique for generating polymer chains on a lattice.  ...  This fact follows directly from theoretical considerations based on the application of the Central Limit Theorem to the theory of Markov chains.  ...  This theorem has been applied in order to investigate the conditions for t he absence of long.range order in certain physical models based on Markov chains, e.g. , for Ising model of ferromagnet, orderdisorder  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6028/jres.069a.036">doi:10.6028/jres.069a.036</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31927854">pmid:31927854</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6629013/">pmcid:PMC6629013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2xbdcnpf4fb2fjxbw2rzwsfrz4">fatcat:2xbdcnpf4fb2fjxbw2rzwsfrz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603083712/https://nvlpubs.nist.gov/nistpubs/jres/69A/jresv69An4p355_A1b.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/35/f2/35f232e59bd09455bbd3a59e29b6cbb4b5ceeaca.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6028/jres.069a.036"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629013" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Facial Wrinkles Detection Techniques and its Application

Ashwini Mawale, Archana Chaugule
<span title="2016-01-15">2016</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
This paper presents the study and review of various techniques used in wrinkle detection.  ...  They have been commonly used in applications, such as face age estimation, facial retouching and facial expression recognition.  ...  To improve the probability density of wrinkle model, and present reversible jump Markov chain Monte Carlo sampler with delayed rejection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2016907826">doi:10.5120/ijca2016907826</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rcwi3qisbvgcdk7mabqlpdlmzq">fatcat:rcwi3qisbvgcdk7mabqlpdlmzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604114505/https://www.ijcaonline.org/research/volume134/number7/mawale-2016-ijca-907826.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3e/80/3e80b8eb898a2c58355ec01a100342a32e4a57a0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2016907826"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Efficient Monte Carlo Sampler for Detecting Parametric Objects in Large Scenes [chapter]

Yannick Verdié, Florent Lafarge
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We propose a new sampling procedure based on a Monte Carlo formalism. Our algorithm exploits Markovian properties of point processes to perform the sampling in parallel.  ...  However, simulating these mathematical models is a difficult task, especially on large scenes. Existing samplers suffer from average performances in terms of computation time and stability.  ...  The optimal configuration maximizing this density is usually searched for by a Monte Carlo based sampler capable of exploring the whole configuration space, in most cases a Markov Chain Monte Carlo (MCMC  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33712-3_39">doi:10.1007/978-3-642-33712-3_39</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tfd25glhzrd6bcgfmpzenbmqeu">fatcat:tfd25glhzrd6bcgfmpzenbmqeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130127154630/http://www-sop.inria.fr/members/Florent.Lafarge/articles/eccv2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ce/0f/ce0f6ad16045959fc0bc91df5e69601d9292bf1d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33712-3_39"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Hamiltonian Switch Metropolis Monte Carlo Simulations for Improved Conformational Sampling of Intrinsically Disordered Regions Tethered to Ordered Domains of Proteins

Anuradha Mittal, Nicholas Lyle, Tyler S. Harmon, Rohit V. Pappu
<span title="2014-06-13">2014</span> <i title="American Chemical Society (ACS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/z2ruvhjfujanbnydakuxtjslca" style="color: black;">Journal of Chemical Theory and Computation</a> </i> &nbsp;
Atomistic Metropolis Monte Carlo (MMC) simulations based on novel implicit solvation models have yielded useful insights regarding sequence-ensemble relationships for IDPs modeled as autonomous units.  ...  We have designed, deployed, and tested our adaptation of the Nested Markov Chain Monte Carlo sampling algorithm.  ...  Gelb's proposal, referred to in the literature as Nested Markov Chain Monte Carlo or NMCMC, 25 was motivated by the need to reduce computational costs associated with Markov Chain Monte Carlo sampling  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/ct5002297">doi:10.1021/ct5002297</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25136274">pmid:25136274</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4132852/">pmcid:PMC4132852</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y5k5txmjszggfpqenahap4tfgu">fatcat:y5k5txmjszggfpqenahap4tfgu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191116142750/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4132852&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/95/ad95a568d5e2b3766edb076216b6e1ab110ae580.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/ct5002297"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acs.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132852" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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