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.
Venue 2020
September 21–24, 2020
Aalto University, Espoo, Finland (virtual conference)
Advance registration deadline: August 22
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), Marc Van Hulle (KU Leuven), 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)