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<span lang="en-US" style="margin:0px">Dear Colleagues, </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
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<span lang="en-US" style="margin:0px">We would like to invite you to contribute a chapter for our upcoming volume entitled “Hidden Markov Models and Applications” to be published in the book series “Unsupervised and Semi-Supervised Learning”,<span style="margin:0px"> <span style="margin:0px"> </span></span>Springer,
the largest global scientific, technical, and medical ebook publisher. The volume will be available both in print and in ebook format by late 2021/early 2022 on SpringerLink, one of the leading science portals that includes more than 10 million documents,
an ebook collection with more than 174,000 titles, and journal archives digitized back to the first issues in the 1840s. </span></p>
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<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Below is a short description of the volume: </span></p>
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<span lang="en-US" style="margin:0px">During the last years, Hidden Markov models (HMMs) have received a lot of attention thanks to their flexibility and ease of use. HMMs have been applied in many areas such as communication engineering, smart buildings, energy,
computer vision, pattern recognition, data mining, signal processing, security, quality control, bioinformatics, financial engineering, remote sensing, etc.<span style="margin:0px"> </span> </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
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<span lang="en-US" style="margin:0px">This book will focus on recent advances, approaches, theories and applications related HMMs. In particular, it aims to present recent inference frameworks and applications that consider HMMs. The consideration of HMMs for
a specific task or application involves several interesting and challenging problems (e.g. estimation, selection, etc.). The goal of this volume is to summarize the recent advances and modern approaches related to these problems. Topics of interest include:
(but not limited to) </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
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<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Hidden
Markov models </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Infinite
Hidden Markov models </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Bayesian/variational
learning </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Nonparametric
Bayesian approaches </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Model
selection </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Feature
selection </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>High-dimensional
data </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Outliers
detection </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"> </span></p>
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<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Active
learning </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Big
Data </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Transfer
learning </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Unsupervised
learning </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Semi-supervised
learning<span style="margin:0px"> </span> </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Online
learning </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Time
series </span></p>
<p style="font-size:11pt;font-family:Calibri, sans-serif;margin:0px"><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"><span style="margin:0px"> <span style="margin:0px"> </span></span>•<span style="margin:0px"> <span style="margin:0px"> </span></span>Applications</span><span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"> </span></p>
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<span lang="en-GB" style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt">Each contributed chapter is expected to present a novel research, a practical study or novel applications based on hidden Markov models, or a survey of the literature. </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
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<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Note that there will be absolutely no publication fees for accepted chapters. Note that a well-written book chapter has the potential to receive hundreds of citations because chapters are often longer and more detailed
than other types of articles and thus more researchers can find material that is of interest to them in a chapter. </span></p>
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<span lang="en-US" style="margin:0px">Important Dates </span></p>
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<span lang="en-US" style="margin:0px">Submission of abstracts<span style="margin:0px"> </span><span style="margin:0px"> </span>January 15, 2021 </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Notification of initial editorial decisions<span style="margin:0px"> <span style="margin:0px"> </span></span><span style="margin:0px"> </span>January 30, 2021 </span></p>
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<span lang="en-US" style="margin:0px">Submission of full-length chapters<span style="margin:0px"> <span style="margin:0px"> </span></span>May 15, 2021 </span></p>
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<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Notification of final editorial decisions<span style="margin:0px"> <span style="margin:0px"> </span></span>June 15, 2021 </span></p>
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<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Submission of revised chapters<span style="margin:0px"> <span style="margin:0px"> </span></span><span style="margin:0px"> </span><span style="margin:0px"> </span>July 30, 2021 </span></p>
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<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">All submissions should be submitted by email to the editors: </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Prof. Nizar Bouguila,<span style="margin:0px"> </span></span><b><span lang="en-US" style="margin:0px">Concordia University, Canada</span></b><span lang="en-US" style="margin:0px"><span style="margin:0px"> </span>(<a href="mailto:nizar.bouguila@concordia.ca" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin:0px;color:purple;text-decoration:underline">nizar.bouguila@concordia.ca</a>) </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Prof. Wentao Fan,<span style="margin:0px"> </span></span><b><span lang="en-US" style="margin:0px">Huaqiao University, China</span></b><span lang="en-US" style="margin:0px"><span style="margin:0px"> </span>(<a href="mailto:fwt@hqu.edu.cn" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin:0px;color:purple;text-decoration:underline">fwt@hqu.edu.cn</a>) </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Dr. Manar Amayri,<span style="margin:0px"> </span><b>Grenoble Institute of Technology, France</b><span style="margin:0px"> </span>(<a href="mailto:Manar.amayri@grenoble-inp.fr" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin:0px;color:purple;text-decoration:underline"><span style="margin:0px">Manar.amayri@grenoble-inp.fr</span></a>) </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Original artwork and a signed copyright release form will be required for all<span style="margin:0px"> </span> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">accepted chapters. For author instructions, please visit: </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span style="margin:0px;font-family:Tahoma, sans-serif;font-size:11.5pt;color:rgb(33, 33, 33);background-color:white">https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/book-manuscript-guidelines</span><span style="margin:0px;font-family:"Times New Roman", serif;font-size:10pt"> </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Feel free to contact us via email regarding your chapter ideas. </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
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<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Sincerely, </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px"> </span></p>
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<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Nizar Bouguila, Wentao Fan, and Manar Amayri </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px"> </span></p>
<p style="caret-color:rgb(0, 0, 0);font-size:medium;font-family:Cambria, serif;margin:0px">
<span lang="en-US" style="margin:0px">Editors </span></p>
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