Technical Program
SPTM-P14: Nonlinear Signal Processing |
Session Type: Poster |
Time: Thursday, March 9, 13:30 - 15:30 |
Location: Churchill: Poster Area E |
Session Chair: Alberto Carini, University of Urbino, Italy |
SPTM-P14.1: A NEW CHAOTIC FEATURE FOR EEG CLASSIFICATION BASED SEIZURE DIAGNOSIS |
Su Yang; Fudan University |
Anqin Zhang; Fudan University |
Jiulong Zhang; Xi'an University of Technology |
Weishan Zhang; China University of Petroleum |
SPTM-P14.2: INTRODUCING COMPLEX FUNCTIONAL LINK POLYNOMIAL FILTERS |
Alberto Carini; University of Urbino |
Danilo Comminiello; Sapienza University of Rome |
SPTM-P14.3: P-LEADER MULTIFRACTAL ANALYSIS FOR TEXT TYPE IDENTIFICATION |
Roberto Leonarduzzi; Université de Lyon |
Patrice Abry; Université de Lyon |
Stéphane Jaffard; Universite Paris Est |
Herwig Wendt; Université de Toulouse |
Lucie Gournay; Universite Paris Est |
Tita Kyriacopoulou; Universite Paris Est |
Claude Martineau; Universite Paris Est |
Cristian Martinez; Universite Paris Est |
SPTM-P14.4: A NEURAL FILTER-BASED SCHEME FOR SYNCHRONIZING CHAOTIC SYSTEMS |
Yu Guo; Xi'an Jiaotong University |
Fei Wang; Xi'an Jiaotong University |
James Ting-Ho Lo; University of Maryland, Baltimore County |
SPTM-P14.5: PARSIMONIOUS ONLINE LEARNING WITH KERNELS VIA SPARSE PROJECTIONS IN FUNCTION SPACE |
Alec Koppel; University of Pennsylvania |
Garrett Warnell; U.S. Army Research Laboratory |
Ethan Stump; U.S. Army Research Laboratory |
Alejandro Ribeiro; University of Pennsylvania |
SPTM-P14.6: APPROXIMATE SIMULATION OF LINEAR CONTINUOUS TIME MODELS DRIVEN BY ASYMMETRIC STABLE LÉVY PROCESSES |
Marina Riabiz; University of Cambridge |
Simon J. Godsill; University of Cambridge |
SPTM-P14.7: BLIND COMPENSATION OF POLYNOMIAL MIXTURES OF GAUSSIAN SIGNALS WITH APPLICATION IN NONLINEAR BLIND SOURCE SEPARATION |
Bahram Ehsandoust; University of Grenoble Alpes, CNRS |
Bertrand Rivet; University of Grenoble Alpes, CNRS |
Massoud Babaie-Zadeh; Sharif University of Technology |
Christian Jutten; University of Grenoble Alpes, CNRS |
SPTM-P14.8: COMPUTATION AND VISUALIZATION OF POSTERIOR DENSITIES IN SCALAR NONLINEAR AND NON-GAUSSIAN BAYESIAN FILTERING AND SMOOTHING PROBLEMS |
Michael Roth; Linköping University |
Fredrik Gustafsson; Linköping University |
SPTM-P14.9: WHY DOES A HILBERTIAN METRIC WORK EFFICIENTLY IN ONLINE LEARNING WITH KERNELS? |
Masahiro Yukawa; Keio University |
Klaus-Robert Müller; Technische Universität Berlin |