ISCApad Archive » 2020 » ISCApad #262 » Events » Other Events » (2020-09-21)CfP MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP 2020), Espoo ,Finland |
ISCApad #262 |
Tuesday, April 14, 2020 by Chris Wellekens |
MLSP 2020 https://ieeemlsp.cchttps://ieeemlsp.cc https://ieeemlsp.cc Call for PapersMachine 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:
Special Session Call for ProposalsMLSP 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. Paper SubmissionProspective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure which will be peer-reviewed. Paper PublicationAccepted 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
Organizing CommitteeGeneral 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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