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<p><tt><b>*IEEE International Workshop on****</b><b><br>
</b><b>MACHINE LEARNING FOR SIGNAL PROCESSING****</b><br>
September 21-24, 2020 Aalto University, Espoo, Finland*<br>
<a class="moz-txt-link-rfc2396E" href="https://ieeemlsp.cc"><https://ieeemlsp.cc></a></tt></p>
<p><tt>Due to complications regarding the COVID-19 situation and to
answer the requests by several authors, the <b>paper </b><b>submission
DL has been extended to </b><b>May 3</b>. This is the final
DL and no extensions will be granted. This is to ensure a timely
review process</tt><tt><br>
</tt><tt><br>
</tt><tt>We will continue to monitor official travel advisories
related to the Corona Virus and update the event website to keep
you informed. Regardless of the situation, we will ensure that
it is possible to present your scientific contribution to the
MLSP 2020 audience (either in person or remotely)</tt><br>
</p>
<p><tt><b>*MLSP 2020*</b><br>
Download poster
<a class="moz-txt-link-rfc2396E" href="https://ieeemlsp.cc/assets/MLSP2020_call_for_papers.pdf"><https://ieeemlsp.cc/assets/MLSP2020_call_for_papers.pdf></a></tt></p>
<p><tt><b>*Call for Papers*</b><br>
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:<br>
<br>
* Learning theory and modeling<br>
* Neural networks and deep learning<br>
* Bayesian Learning and modeling<br>
* Sequential learning, sequential decision methods<br>
* Information-theoretic learning<br>
* Graphical and kernel models<br>
* Bounds on performance<br>
* Source separation and independent component analysis<br>
* Signal detection, pattern recognition and classification<br>
* Tensor and structured matrix methods<br>
* Machine learning for big data<br>
* Large scale learning<br>
* Dictionary learning, subspace and manifold learning<br>
* Semi-supervised and unsupervised learning<br>
* Active and reinforcement learning<br>
* Learning from multimodal data<br>
* Resource efficient machine learning<br>
* Cognitive information processing<br>
* Bioinformatics applications<br>
* Biomedical applications and neural engineering<br>
* Speech and audio processing applications<br>
* Image and video processing applications<br>
* Intelligent multimedia and web processing<br>
* Communications applications<br>
* Other applications including social networks, games, smart
grid,<br>
security and privacy<br>
<br>
<b>*Special Session Call for Proposals*</b><br>
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.<br>
<br>
More details <a class="moz-txt-link-rfc2396E" href="https://ieeemlsp.cc/special-sessions/"><https://ieeemlsp.cc/special-sessions/></a><br>
</tt></p>
<p><tt><b>*Paper Submission*</b><br>
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.<br>
<br>
More details <a class="moz-txt-link-rfc2396E" href="https://ieeemlsp.cc/paper-submission/"><https://ieeemlsp.cc/paper-submission/></a><br>
</tt></p>
<p><tt><b>*Paper Publication*</b><br>
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.<br>
</tt></p>
<p><tt><b>*Schedule 2020*</b><br>
<br>
* Special session call deadline: <strike>*March 19 2020*</strike><br>
* Paper submission deadline: <b>*May 3 2020*</b><br>
* Decision notification: <b>*June 30 2020*</b><br>
* Camera-ready paper deadline: <b>*July 25 2020*</b><br>
* Advance registration deadline: <b>*August 22 2020*</b><br>
<br>
<b>*Organizing Committee*</b><br>
General Chair: *Simo Särkkä* (Aalto University), Program Chairs:
*Lassi Roininen* (Lappeenranta University of Technology),
*Andreas Hauptmann* (University of Oulu), *Manon Kok* (TU
Delft), *Michael Riis Andersen* (Technical University of
Denmark), Finance Chair: *Seppo Sierla* (Aalto University),
Publicity Chair: *Arno Solin* (Aalto University), Tutorial
Chair: *Alexander Ilin* (Aalto University), Publications Chair:
*Roland Hostettler* (Uppsala University), Advisory Committee:
*Zheng-Hua Tan* (Aalborg University), *Murat Akcakaya*
(University of Pittsburgh), *Bhaskar Rao* (University of
California San Diego), *Raviv Raich* (Oregon State University) </tt><br>
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