SPTM-P11.2
ADAPTIVE SPECTRAL GRAPH PARTITIONING FOR PORTFOLIO OPTIMISATION
Tina Dionysiou, Giorgos Iacovides, Wuyang Zhou, Tony Constantinides, Danilo Mandic, Imperial College London, United Kingdom of Great Britain and Northern Ireland
Session:
SPTM-P11: Graph Signal Processing: Methods (I) Poster
Track:
Signal Processing Theory and Methods [TM]
Location:
Poster Area 1
Presentation Time:
Wed, 6 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session SPTM-P11
SPTM-P11.1: Graph Hodge-Laplacian Particle Filtering for Communication-Efficient Distributed Tracking
Dayu Qin, Ercan E. Kuruoglu, Tsinghua University, China
SPTM-P11.2: ADAPTIVE SPECTRAL GRAPH PARTITIONING FOR PORTFOLIO OPTIMISATION
Tina Dionysiou, Giorgos Iacovides, Wuyang Zhou, Tony Constantinides, Danilo Mandic, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SPTM-P11.3: Topological Signal Processing for 3D Point Cloud Data
Tiziana Cattai, Sapienza University of Rome, Italy, Italy; Stefania Sardellitti, Universitas Mercatorum, Rome, Italy, Italy; Stefania Colonnese, Sergio Barbarossa, Sapienza University of Rome, Italy, Italy
SPTM-P11.4: Gromov-Wasserstein Graph Coarsening
Carlos A Taveras, Santiago Segarra, César A Uribe, Rice University, United States of America
SPTM-P11.5: CONVOLUTIONAL GRAPH FILTER DESIGN FOR SIGNED GRAPHS
Abdullah Karaaslanli, Selin Aviyente, Michigan State University, United States of America
SPTM-P11.6: Learning Optimal Graph Filters for Clustering of Attributed Graphs
Meiby Ortiz-Bouza, Selin Aviyente, Michigan State University, United States of America
SPTM-P11.7: DATA-DRIVEN GRAPH FILTERS VIA ADAPTIVE SPECTRAL SHAPING
Dylan Sandfelder, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Mihai Cucuringu, University of California, Los Angeles, United States of America; Xiaowen Dong, University of Oxford, United Kingdom of Great Britain and Northern Ireland
SPTM-P11.8: ROBUSTIFYING GRAPH LAPLACIAN REGULARIZATION AGAINST EDGE WEIGHT UNCERTAINTIES: AN INFIMAL CONVOLUTION APPROACH
Yuto Tsukiashi, Shunsuke Ono, Institute of Science Tokyo, Japan
SPTM-P11.9: HILBERT TRANSFORM ON GRAPHS: LET THERE BE PHASE
Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville, Ecole Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P11.10: GRAPH LAPLACIAN LEARNING WITH EXPONENTIAL FAMILY NOISE
Changhao Shi, Gal Mishne, University of California San Diego, United States of America
Contacts