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Multi-Dimensional Dependency-Tree Hidden Markov Models

B. Merialdo, J. Jiten, B. Huet
<i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rc5jnc4ldvhs3dswicq5wk3vsq" style="color: black;">2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings</a> </i> &nbsp;
In this paper, we propose a new type of multi-dimensional Hidden Markov Model based on the idea of Dependency Tree between positions.  ...  We illustrate the algorithm by training a 2-dimensional model on a set of coherent images.  ...  INTRODUCTION Hidden Markov Models have proven to be particularly efficient at modeling uni-dimensional signal, in particular in Speech Recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2006.1660457">doi:10.1109/icassp.2006.1660457</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/MerialdoJH06.html">dblp:conf/icassp/MerialdoJH06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bfbhj3w3xzaudgybgffx7542uq">fatcat:bfbhj3w3xzaudgybgffx7542uq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812064008/http://www.eurecom.fr/en/publication/1968/download/mm-jitejo-060514.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/c5/13/c51336e8259e0d9269d4c10120eb49ebf9882973.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2006.1660457"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Markovian regularization of latent-variable-models mixture for New multi-component image reduction/segmentation scheme

F. Flitti, Ch. Collet
<span title="2007-04-11">2007</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nohybzclzngzfnzci4asq3kc2e" style="color: black;">Signal, Image and Video Processing</a> </i> &nbsp;
In this paper, we focus on the Probabilistic Principal Component Analysis (PPCA) as a latent variable model, and the Hidden Markov quad-Tree (HMT) as an a priori for regularization.  ...  However, for multi-component image classification, this is not enough because it completely neglects the spatial positions of the multi-dimensional pixels on the lattice.  ...  The method may also be extended to other Markov models such as Hidden Markov Chain and Markov Random Field depending on the on hand application.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11760-007-0010-y">doi:10.1007/s11760-007-0010-y</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tj4r4ligvjbwval7kraqdkttde">fatcat:tj4r4ligvjbwval7kraqdkttde</a> </span>
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PET/CT image denoising and segmentation based on a multi observation and a multi scale Markov tree model

<span title="">2013</span> <i title="IEEE"> 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC) </i> &nbsp;
Thanks to two efficient aspects (multi observation and multi resolution) of HMT and Bayesian inference, we exploited joint statistical dependencies between hidden states to handle the entire data stack  ...  This work deals with the use of a probabilistic quadtree graph (Hidden Markov Tree, HMT) to provide fast computation, improved robustness and an effective interpretational framework for image analysis  ...  Thanks to its remarkable properties (multi observation and multi resolution joint statistics, as illustrated in Fig. 1 ) such a model (Hidden Markov Tree, HMT) [1] can provide fast computation, improved  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/nssmic.2013.6829281">doi:10.1109/nssmic.2013.6829281</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ulpt4uibevevvl5yppstvhdnry">fatcat:ulpt4uibevevvl5yppstvhdnry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810172548/http://www-public.tem-tsp.eu/~pieczyn/C116.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/d6/e8/d6e81b2ce5df117b289acb3f5978ec963c822454.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/nssmic.2013.6829281"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Semantic Image Segmentation with a Multidimensional Hidden Markov Model [chapter]

Joakim Jiten, Bernard Merialdo
<span title="">2006</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;
In this paper, we investigate how this prior information can be modeled by learning the local and global context in images by using a multidimensional hidden Markov model.  ...  We describe the theory of the model and present experiments conducted on a set of annotated news videos.  ...  For this reason we have proposed an efficient sub-type of multi-dimensional hidden Markov model; the Dependency-Tree Hidden Markov Model [5] (DT-HMM) which preserves a reasonable computational feasibility  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-69423-6_60">doi:10.1007/978-3-540-69423-6_60</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gcz4h7resbdclmpa6rinvbiwaq">fatcat:gcz4h7resbdclmpa6rinvbiwaq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320162633/http://www.eurecom.fr/en/publication/2079/download/mm-jitejo-070109.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/62/c2/62c2338c501a2b0b1274906dac416f0aaec96a82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-69423-6_60"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Graphical models for statistical inference and data assimilation

Alexander T. Ihler, Sergey Kirshner, Michael Ghil, Andrew W. Robertson, Padhraic Smyth
<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jsigantcpjamteymlcjp25zyvq" style="color: black;">Physica D : Non-linear phenomena</a> </i> &nbsp;
, and learning hidden Markov models to capture rainfall patterns in space and time.  ...  We then give several additional examples of how graphical models can be applied to climate dynamics, specifically estimation using multi-resolution models of large-scale data sets such as satellite imagery  ...  (a) A binary tree multi-scale model of a one dimensional process x 1 . . . x 8 , some of which have been observed (shaded nodes); (b) a quad-tree model of a two dimensional process (such as an image),  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.physd.2006.08.023">doi:10.1016/j.physd.2006.08.023</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/662o6nnhyjb7zfpt3opu2f6kai">fatcat:662o6nnhyjb7zfpt3opu2f6kai</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070416212035/http://www.atmos.ucla.edu/tcd/PREPRINTS/GraphModelsDA-Fina.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/3a/6a/3a6ace3d1b3721dd2a67a7249119bf378238fed1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.physd.2006.08.023"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Punjabi Speech Synthesis System using HTK

Divya Bansal
<span title="2012-07-31">2012</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fdiaqvo2cjdhdjegdkqf5tlf7i" style="color: black;">International Journal of Information Sciences and Techniques</a> </i> &nbsp;
The training of phone Hidden Markov Models using pitch and Mel cepstrum simultaneously is enabled in a unified framework by using multi-space probability distribution Hidden Markov Models and multi-dimensional  ...  Hidden Markov Model Toolkit :-Triphone hmmdefs FileAfter decision tree clustering following file is obtained: Clustered Decision Tree Clustering Figure 9 . 9 (phonemes.mlf) Phoneme File Generated  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijist.2012.2406">doi:10.5121/ijist.2012.2406</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2htvmn3vavgmfp4l7drbg6eagy">fatcat:2htvmn3vavgmfp4l7drbg6eagy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604074724/http://www.airccse.org/journal/IS/papers/2412ijist06.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/f5/95/f595340b5c9d165936d7ba3bb67893ea70da25f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijist.2012.2406"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Image multi-scale edge detection using 3-D Hidden Markov Model based on the non-decimated wavelet

Renqi Zhang, Wanli Ouyang, Wai-Kuen Cham
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/anlh4tvwprcrtoxv5d4h6a7rye" style="color: black;">2009 16th IEEE International Conference on Image Processing (ICIP)</a> </i> &nbsp;
Based on the non-decimated wavelet which is shift-invariant, in this paper, we develop a new edge detecting technique using 3-D Hidden Markov Model.  ...  In addition, the proposed model has the potential to be an efficient multi-scale statistical modeling tool for other image or video processing tasks.  ...  Inspired by the non-decimated wavelet and three-dimensional Hidden Markov Model (3-D HMM) [9] , we propose a new multi-scale statistical model 3-D NWHMM in this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2009.5414061">doi:10.1109/icip.2009.5414061</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icip/ZhangOC09.html">dblp:conf/icip/ZhangOC09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5tfzugr6bvhw7ftttfv7loh3se">fatcat:5tfzugr6bvhw7ftttfv7loh3se</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809050538/http://www.ee.cuhk.edu.hk/~wlouyang/Papers/3DHMM-Edge.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/d3/0f/d30fa0306d356eefef4c9bc3a262398fd4507316.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2009.5414061"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Unimodal Multi-Feature Fusion and one-dimensional Hidden Markov Models for Low-Resolution Face Recognition

Othmane El Meslouhi, Zineb Elgarrai, Mustapha Kardouchi, Hakim Allali
<span title="2017-08-01">2017</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdt65w3c4jeojd2d4wr6rbkebe" style="color: black;">International Journal of Electrical and Computer Engineering (IJECE)</a> </i> &nbsp;
In this work, we propose a robust low face recognition technique based on one-dimensional Hidden Markov Models.  ...  Fusion and One-dimensional Hidden Markov Models ….  ...  Figure 4 . 4 An example of a Left-Right 1D-HMM with N states. 1919 Figure 5 . 19195 Unimodal Multi-Feature Fusion and One-dimensional Hidden Markov Models ….  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v7i4.pp1915-1922">doi:10.11591/ijece.v7i4.pp1915-1922</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3z77ch2rd5ctthgb4itvlkyo4e">fatcat:3z77ch2rd5ctthgb4itvlkyo4e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720020204/http://www.iaescore.com/journals/index.php/IJECE/article/download/7730/7216" 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/84/97/8497e77d9822eaa18edccfcccf9602c1a2f895e9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v7i4.pp1915-1922"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Review of Existing Data Mining Techniques Used For Weather Prediction

Sameer Kaul
<span title="2017-11-23">2017</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
Paper discusses the significant properties that are vital for data mining techniques to be incorporated in predictive model of weather forecasting.  ...  This paper will provide a detailed overview of popularly used data mining techniques and gives an insight on the utility of data mining techniques in the weather prediction models.  ...  multi-dimensional data and many more [1] , [2] , [3] , [6] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2017.11353">doi:10.22214/ijraset.2017.11353</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eeumempnv5fgbdmfvpnapcc7ca">fatcat:eeumempnv5fgbdmfvpnapcc7ca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602093123/http://ijraset.com/fileserve.php?FID=11165" 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/42/db/42db55cc669602d2d56d735259d980886096b309.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2017.11353"> <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>

Research on the Correlation between Information and Communication Technology Development and Consumer Spending Based on Artificial Intelligence and Time Series Econometric Model

Chaozhi Fan, Siong Hook Law, Saifuzzaman Ibrahim, N. A. M. Naseem, Wei Liu
<span title="2022-06-13">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ak4drtjatbcoxpgx5twsmzrwve" style="color: black;">Journal of Electrical and Computer Engineering</a> </i> &nbsp;
Moreover, this paper organically combines the advantages of wavelet analysis and hidden Markov model to construct a wavelet domain hidden Markov chain model.  ...  In order to explore the correlation between ICT development and consumer spending, this paper uses artificial intelligence and time series econometric models to study the correlation between ICT development  ...  hidden Markov tree model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/1645232">doi:10.1155/2022/1645232</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mjubb26g2fgx3kqldictfb5vve">fatcat:mjubb26g2fgx3kqldictfb5vve</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220618230839/https://downloads.hindawi.com/journals/jece/2022/1645232.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/ae/83/ae83bb48cbfd08215700e9b3204e275a467d3b54.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/1645232"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Hidden Markov Model Approaches for Biological Studies

Xiang Yang Lou
<span title="2017-03-31">2017</span> <i title="MedCrave Group, LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dzoz7fx6wbfn7onhb6g3qxj7my" style="color: black;">Biometrics &amp; Biostatistics International Journal</a> </i> &nbsp;
This article will introduce the theory of hidden Markov model and the computational algorithms for the three fundamental statistical problems and summarize striking applications of hidden Markov models  ...  Hidden Markov models and more generally hidden Markov random fields can capture both random signals and inherent correlation structure typically in time and space, and have emerged as a powerful approach  ...  Alternatively, restricted models with reduced connectivity such as pseudo multi-dimensional HMMs [44, 45] , embedded HMMs [46, 47] , dependence-tree HMMs [48] are suggested for use.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15406/bbij.2017.05.00139">doi:10.15406/bbij.2017.05.00139</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x5mqdr44gnbcteffu5g4ocl7c4">fatcat:x5mqdr44gnbcteffu5g4ocl7c4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723112407/http://medcraveonline.com/BBIJ/BBIJ-05-00139.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/b9/c5/b9c5084088aa4281d0d0bfae2aa24135649d3454.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15406/bbij.2017.05.00139"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Method of Quaternions Wavelet Image Denoising

Han Tianfeng
<span title="2014-08-31">2014</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ym6wyoim55h6lliru6w4ssplki" style="color: black;">International Journal of Signal Processing, Image Processing and Pattern Recognition</a> </i> &nbsp;
model and algorithm: (1) based on quaternion wavelet hidden markov tree model of image denoising; (2) based on quaternion wavelet transform non-gaussian bivariate distribution image denoising algorithm  ...  of bayesian statistical model; (3) based on quaternion mixing statistical model of wavelet image denoising.  ...  Figure1shows the two-dimensional wavelet domain hidden markov tree model diagram. Figure 1 . 1 Figure 1.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsip.2014.7.4.31">doi:10.14257/ijsip.2014.7.4.31</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bnzopffdezdlhguvmt5zytw7vy">fatcat:bnzopffdezdlhguvmt5zytw7vy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220302214855/http://article.nadiapub.com/IJSIP/vol7_no4/31.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/e2/9d/e29da6106ba1f7ff1b978d530553599a723b1cac.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsip.2014.7.4.31"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification [article]

Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
<span title="2020-07-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce TIMELY, a probabilistic model that combines pseudotime inference methods with inhomogeneous hidden Markov trees, which addresses this challenge of label inconsistency.  ...  The pair (Z1,X1) is a hidden Markov tree (HMT) if •Z1 is a Markov tree, and • the distribution of the observed variable Xt depends only on the hidden variable Zt for all t ∈ {1, . . . , T }.  ...  More specifically, pseudotime inference with Markov models for labeling consistency (TIMELY) combines pseudotime inference algorithms with inhomogenenous hidden Markov trees, which is an extension of hidden  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.05307v1">arXiv:2007.05307v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zopd6h7xfbahpevcryar2sbose">fatcat:zopd6h7xfbahpevcryar2sbose</a> </span>
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Inference and parameter estimation on hierarchical belief networks for image segmentation

Christian Wolf, Gérald Gavin
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bby322qx6ndsje4ypr56c7nnly" style="color: black;">Neurocomputing</a> </i> &nbsp;
Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains cycles.  ...  Compared to tree structured models, the (spatial) random process on the base level of the model is stationary which avoids known drawbacks, namely visual artifacts in the segmented image.  ...  An alternative to the two-dimensional MRFs are hidden Markov chains (MC) on a Hilbert-Peano scan of an image [1] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2009.07.017">doi:10.1016/j.neucom.2009.07.017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wg6ouvai4faujcclucfsakqqyi">fatcat:wg6ouvai4faujcclucfsakqqyi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922014047/http://liris.cnrs.fr/Documents/Liris-3609.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/75/c6/75c68bb26db2e7d07097fd1d394a5ec13c31d97d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2009.07.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Multiscale Discriminant Saliency for Visual Attention [chapter]

Anh Cat Le Ngo, Kenneth Li-Minn Ang, Guoping Qiu, Jasmine Seng Kah-Phooi
<span title="">2013</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;
Hidden markov tree (HMT).  ...  With wavelet coefficients and Hidden Markov Tree parameters, quad-tree like label structures are constructed and utilized in maximum a posterior probability (MAP) of hidden class variables at corresponding  ...  This confirms usefulness of trained Hidden Markov Tree models for each sample image.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-39637-3_37">doi:10.1007/978-3-642-39637-3_37</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qppx3lhedrfh5atmkaiif3dmmi">fatcat:qppx3lhedrfh5atmkaiif3dmmi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190225145820/http://pdfs.semanticscholar.org/643e/7767af7177e60b12a9ef8e5e20a635cab626.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/64/3e/643e7767af7177e60b12a9ef8e5e20a635cab626.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-39637-3_37"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>
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