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<div style="padding: 10px;"><font size="4"><span
style="font-size: 14pt;"><b>IEEE International Workshop
on</b></span></font><font size="4"><span
style="font-size: 14pt;"><b> </b></span></font><font
size="4"><span style="font-size: 14pt;"><b><br>
MACHINE LEARNING FOR SIGNAL PROCESSING</b></span></font><font
size="4"><span style="font-size: 14pt;"><b> </b></span></font><font
size="4"><span style="font-size: 14pt;"><b><br>
September 21–24, 2020 Aalto University, Espoo, Finland</b></span></font><font
size="4"><span style="font-size: 14pt;"><br>
</span></font><a href="https://ieeemlsp.cc/"
target="_blank" id="LPlnk265860"><font color="white"
size="4"><span style="font-size: 14pt;">https://ieeemlsp.cc</span></font></a></div>
<br>
<font size="6"><span style="font-size: 22pt;"><b>MLSP 2020</b></span></font><br>
<div><a
href="https://ieeemlsp.cc/assets/MLSP2020_call_for_papers.pdf"
target="_blank">Download poster</a><br>
</div>
<div style="margin-top: 14pt; margin-bottom: 14pt;"><font
size="5"><b>Call for Papers</b></font></div>
<div style="margin-top: 0px; margin-bottom: 0px;">Machine
learning, as the driving force of this wave of AI, provides
powerful solutions to many real-world technical and
scientific challenges. The 30th MLSP workshop, an annual
event organized by the IEEE Signal Processing Society MLSP
Technical Committee, will present the most recent and
exciting advances in machine learning for signal processing
through keynote talks, tutorials, as well as special and
regular single-track sessions. Prospective authors are
invited to submit papers on relevant algorithms and
applications including, but not limited to:</div>
<ul style="margin-top: 14pt; margin-bottom: 14pt;">
<li>Learning theory and modeling</li>
<li>Neural networks and deep learning</li>
<li>Bayesian Learning and modeling</li>
<li>Sequential learning, sequential decision methods</li>
<li>Information-theoretic learning</li>
<li>Graphical and kernel models</li>
<li>Bounds on performance</li>
<li>Source separation and independent component analysis</li>
<li>Signal detection, pattern recognition and classification</li>
<li>Tensor and structured matrix methods</li>
<li>Machine learning for big data</li>
<li>Large scale learning</li>
<li>Dictionary learning, subspace and manifold learning</li>
<li>Semi-supervised and unsupervised learning</li>
<li>Active and reinforcement learning</li>
<li>Learning from multimodal data</li>
<li>Resource efficient machine learning</li>
<li>Cognitive information processing</li>
<li>Bioinformatics applications</li>
<li>Biomedical applications and neural engineering</li>
<li>Speech and audio processing applications</li>
<li>Image and video processing applications</li>
<li>Intelligent multimedia and web processing</li>
<li>Communications applications</li>
<li>Other applications including social networks, games,
smart grid, security and privacy</li>
</ul>
<div style="margin-top: 14pt; margin-bottom: 14pt;"><font
size="4"><b>Special Session Call for Proposals</b></font></div>
<div style="margin-top: 0px; margin-bottom: 0px;">MLSP is
seeking original, high quality proposals for Special
Sessions, to be included in the technical program along with
the regular track. Special Sessions are expected to address
research in focused, emerging, or interdisciplinary areas of
particular interest, not covered already by traditional MLSP
sessions.<a href="https://ieeemlsp.cc/special-sessions/"
target="_blank"><br>
<br>
More details</a></div>
<div style="margin-top: 14pt; margin-bottom: 14pt;"><font
size="4"><b>Paper Submission</b></font></div>
<div style="margin-top: 0px; margin-bottom: 0px;">Prospective
authors are invited to submit a double column paper of up to
six pages using the electronic submission procedure which
will be peer-reviewed.<a
href="https://ieeemlsp.cc/paper-submission/"
target="_blank"><br>
<br>
More details</a><br>
</div>
<div style="margin-top: 14pt; margin-bottom: 14pt;"><font
size="4"><b>Paper Publication</b></font></div>
<div style="margin-top: 0px; margin-bottom: 0px;">Accepted
papers will be published on on a password-protected website
that will be available during the workshop. The presented
papers will be published in and indexed by IEEE Xplore.</div>
<div style="margin-top: 14pt; margin-bottom: 14pt;"><font
size="4"><b>Schedule 2020</b></font></div>
<ul style="margin-top: 14pt; margin-bottom: 14pt;">
<li>Special session call deadline: <b>March 19</b></li>
<li>Paper submission deadline: <b>April 19</b></li>
<li>Decision notification: <b>June 30</b></li>
<li>Camera-ready paper deadline:<b> </b><b>July 25</b></li>
<li>Advance registration deadline: <b>August 22</b></li>
</ul>
<div style="margin-top: 14pt; margin-bottom: 14pt;"><font
size="4"><b>Organizing Committee</b></font></div>
<div style="margin-top: 0px; margin-bottom: 0px;">General
Chair: <b>Simo Särkkä</b> (Aalto University), Program
Chairs: <b>Lassi Roininen</b> (Lappeenranta University of
Technology), <b>Andreas Hauptmann</b> (University of Oulu), <b>Manon
Kok</b> (TU Delft), <b>Michael Riis Andersen</b> (Technical
University of Denmark), Finance Chair: <b>Seppo Sierla</b> (Aalto
University), Publicity Chair: <b>Arno Solin</b> (Aalto
University), Tutorial Chair: <b>Alexander Ilin</b> (Aalto
University), Publications Chair: <b>Roland Hostettler</b> (Uppsala
University), Advisory Committee: <b>Zheng-Hua Tan</b> (Aalborg
University), <b>Murat Akcakaya</b> (University of
Pittsburgh), <b>Bhaskar Rao</b> (University of California
San Diego), <b>Raviv Raich</b> (Oregon State University)</div>
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