SPTM-17.3
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Jitendra Tugnait, Auburn University, United States of America
Session:
Signal and Information Processing over Graphs I: Statistical Approaches
Track:
Signal Processing Theory and Methods
Location:
Gather Area M
Presentation Time:
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Thu, 12 May, 12:00 - 12:45 UTC
Session Co-Chairs:
Antonio Garcia Marques, King Juan Carlos University and Samuel Rey, King Juan Carlos University
Session SPTM-17
SPTM-17.1: A STIMULI-RELEVANT DIRECTED DEPENDENCY INDEX FOR TIME SERIES
Payam Shahsavari Baboukani, Sergios Theodoridis, Jan Østergaard, Aalborg University, Denmark
SPTM-17.2: JOINT INFERENCE OF MULTIPLE GRAPHS WITH HIDDEN VARIABLES FROM STATIONARY GRAPH SIGNALS
Samuel Rey, Andrei Buciulea, Antonio Garcia Marques, King Juan Carlos University, Spain; Madeline Navarro, Santiago Segarra, Rice University, United States of America
SPTM-17.3: Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Jitendra Tugnait, Auburn University, United States of America
SPTM-17.4: WIDE-SENSE STATIONARITY AND SPECTRAL ESTIMATION FOR GENERALIZED GRAPH SIGNAL
Xingchao Jian, Wee Peng Tay, Nanyang Technological University, Singapore
SPTM-17.5: BLIND EXTRACTION OF EQUITABLE PARTITIONS FROM GRAPH SIGNALS
Michael Scholkemper, Michael Schaub, RWTH Aachen, Germany
SPTM-17.6: LEARNING SPARSE GRAPHS WITH A CORE-PERIPHERY STRUCTURE
Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri, Indian Institute of Science, India