Connectionists: MLSP 2020 - Submission deadline extended to May 3 - IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

[2020 IEEE International Workshop on Machine Learning fo Signal Processing]

**IEEE International Workshop on******
**MACHINE LEARNING FOR SIGNAL PROCESSING*****
September 21-24, 2020 Aalto University, Espoo, Finland*
<https://ieeemlsp.cc>

Due to complications regarding the COVID-19 situation and to answer the 
requests by several authors, the *paper **submission DL has been 
extended to **May 3*. This is the final DL and no extensions will be 
granted. This is to ensure a timely review process

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)

**MLSP 2020**
Download poster <https://ieeemlsp.cc/assets/MLSP2020_call_for_papers.pdf>

**Call for Papers**
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:

  * Learning theory and modeling
  * Neural networks and deep learning
  * Bayesian Learning and modeling
  * Sequential learning, sequential decision methods
  * Information-theoretic learning
  * Graphical and kernel models
  * Bounds on performance
  * Source separation and independent component analysis
  * Signal detection, pattern recognition and classification
  * Tensor and structured matrix methods
  * Machine learning for big data
  * Large scale learning
  * Dictionary learning, subspace and manifold learning
  * Semi-supervised and unsupervised learning
  * Active and reinforcement learning
  * Learning from multimodal data
  * Resource efficient machine learning
  * Cognitive information processing
  * Bioinformatics applications
  * Biomedical applications and neural engineering
  * Speech and audio processing applications
  * Image and video processing applications
  * Intelligent multimedia and web processing
  * Communications applications
  * Other applications including social networks, games, smart grid,
    security and privacy

**Special Session Call for Proposals**
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.

More details <https://ieeemlsp.cc/special-sessions/>

**Paper Submission**
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.

More details <https://ieeemlsp.cc/paper-submission/>

**Paper Publication**
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.

**Schedule 2020**

  * Special session call deadline: *March 19 2020*
  * Paper submission deadline: **May 3 2020**
  * Decision notification: **June 30 2020**
  * Camera-ready paper deadline: **July 25 2020**
  * Advance registration deadline: **August 22 2020**

**Organizing Committee**
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)

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