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<div style="font-family: Tahoma, Geneva, sans-serif;">Dear Colleagues,</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">We would like to invite you to contribute a chapter for our upcoming volume entitled Mixture Models and Applications to be published in the book series Unsupervised and Semi-Supervised Learning, Springer,
the largest global scientific, technical, and medical ebook publisher. The volume will be available both in print and in ebook format by late 2019/early 2020 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.</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Below is a short description of the volume:</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">During the last years, mixture models have received a lot of attention thanks to their flexibility and ease of use. Mixture models have been applied in many areas such as computer vision, pattern recognition,
data mining, security, quality control, bioinformatics, financial engineering, remote sensing, etc. Mixture models are known for their ability to offer a formal approach to unsupervised and semi-supervised learning.</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">This book will focus on recent advances, approaches, theories and applications related to mixture models. In particular, it aims to present recent unsupervised and semi-supervised frameworks that consider
mixture models as their main tool. The consideration of mixture models involves several interesting and challenging problems such as parameters estimation, model selection, feature 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)</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;"> • Finite mixture models</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Infinite mixture models</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Bayesian/variational learning</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Nonparametric Bayesian approaches</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Model selection</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Feature selection</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Subspace mixture models</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Outliers detection</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"><span style="font-size: 12pt;"> • High-dimensional data</span></div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Big Data</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Deep mixture models</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Unsupervised learning</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Semi-supervised learning </div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Online learning</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Time series</div>
<div style="font-family: Tahoma, Geneva, sans-serif;"> • Applications</div>
<div style="font-family: Tahoma, Geneva, sans-serif;">Each contributed chapter is expected to present a novel research, a practical study or novel applications based on mixture models, or a survey of the literature.</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">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.</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Important Dates</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Submission of abstracts December 15, 2018</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Notification of initial editorial decisions December 30, 2018</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Submission of full-length chapters March 15, 2019</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Notification of final editorial decisions April 1, 2019</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Submission of revised chapters May 1, 2019</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">All submissions should be submitted by email to the editors:</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Prof. Nizar Bouguila, Concordia University, Canada (nizar.bouguila@concordia.ca)</div>
<div style="font-family: Tahoma, Geneva, sans-serif;">Dr. Wentao Fan, Huaqiao University, China (fwt@hqu.edu.cn)</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Original artwork and a signed copyright release form will be required for all </div>
<div style="font-family: Tahoma, Geneva, sans-serif;">accepted chapters. For author instructions, please visit:</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/book-manuscript-guidelines</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Feel free to contact us via email regarding your chapter ideas.</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Sincerely,</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Nizar Bouguila and Wentao Fan</div>
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<div style="font-family: Tahoma, Geneva, sans-serif;">Editors<br>
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