EUSIPCO 2023 || Helsinki, Finland || 4

Thu AM1.L5.1

Sparsity-Aware Block Diagonal Representation for Subspace Clustering

Aylin Tastan, Michael Muma, Technische Universität Darmstadt, Germany; Esa Ollila, Aalto University, Finland; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

Session:

Thu AM1.L5: Graph Signal Processing Lecture

Location:

Press room

Presentation Time:

Thu, 7 Sep, 10:30 - 10:50 Finland Time (UTC +3)

Session Chair:

Geert Leus, Delft University of Technology

Session Thu AM1.L5

Thu AM1.L5.1: Sparsity-Aware Block Diagonal Representation for Subspace Clustering

Aylin Tastan, Michael Muma, Technische Universität Darmstadt, Germany; Esa Ollila, Aalto University, Finland; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

Thu AM1.L5.2: Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data

John Stewart Fabila Carrasco, The University of Edinburgh, United Kingdom; Chao Tan, Tianjin University, China; Javier Escudero, The University of Edinburgh, United Kingdom

Thu AM1.L5.3: Error Detection on Knowledge Graphs with Triple Embedding

Yezi Liu, University of California Irvine, United States; Qinggang Zhang, The Hong Kong Polytechnic University, China; Mengnan Du, New Jersey Institute of Technology, United States; Xiao Huang, The Hong Kong Polytechnic University, China; Xia Hu, Rice University, United States

Thu AM1.L5.4: Clustering with Simplicial Complexes

Siddartha Reddy Thummaluru, Sundeep Prabhakar Chepuri, Indian Institute of Science, India; Pierre Borgnat, ENS de Lyon, CNRS, Lab. Physique, France

Thu AM1.L5.5: Towards Model-Agnostic Federated Learning over Networks

Alexander Jung, Shamsiiat Abdurakhmanova, Olga Kuznetsova, Yasmin Sarcheshmehpour, Aalto University, Finland

Thu AM1.L5.6: PRODUCT GRAPH GAUSSIAN PROCESSES FOR MULTI-DOMAIN DATA IMPUTATION AND ACTIVE LEARNING

Sai Kiran Kadambari, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bengaluru, India