Wed PM2.L2.4
Online Kernel-Based Quantile Regression Using Huberized Pinball Loss
Takumi Ichinose, Masahiro Yukawa, Keio University, Japan; Renato Cavalcante, Fraunhofer Heinrich Hertz Institute, Germany
Session:
Wed PM2.L2: Robust Methods Lecture
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Fennia 1
Presentation Time:
Wed, 6 Sep, 17:10 - 17:30 Finland Time (UTC +3)
Session Chair:
Frédéric Pascal, Université Paris-Saclay, CNRS, CentraleSupélec, laboratoire des signaux et systèmes
Presentation
Discussion
Resources
No resources available.
Session Wed PM2.L2
Wed PM2.L2.1: ROBUST SPARSE BAYESIAN LEARNING FOR DOA
Christoph Mecklenbräuker, TU Wien, Austria; Peter Gerstoft, University of California, San Diego (UCSD), United States; Esa Ollila, Aalto University, Finland; Yongsung Park, University of California, San Diego (UCSD), United States
Wed PM2.L2.2: t-WDA: A novel Discriminant Analysis applied to EEG classification
Imen Ayadi, Florent Bouchard, Frédéric Pascal, Université Paris-Saclay, CNRS, CentraleSupélec, laboratoire des signaux et systèmes, France
Wed PM2.L2.3: TOWARDS ROBUST IDENTIFICATION OF NONSTATIONARY SYSTEMS
Artur Gancza, Marta Chelkowska, Natalia Kleinschmidt, Gdansk University of Technology, Poland
Wed PM2.L2.4: Online Kernel-Based Quantile Regression Using Huberized Pinball Loss
Takumi Ichinose, Masahiro Yukawa, Keio University, Japan; Renato Cavalcante, Fraunhofer Heinrich Hertz Institute, Germany
Wed PM2.L2.5: A Robust Model and its EM Algorithm for the Estimation of the Multifractality Parameter
Lorena Leon, University of Toulouse, France; Herwig Wendt, University of Toulouse, CNRS, France; Jean-Yves Tourneret, University of Toulouse, INP Toulouse, France; Patrice Abry, Univ. Lyon, ENS de Lyon, Univ. Claude Bernard, CNRS, France