SPTM-L3: Graph Topology Inference and Learning
Oral
Tue, 5 May, 14:00 - 16:00
Location: Room 124+125
Session Type: Oral
Track: Signal Processing Theory and Methods [TM]
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Tue, 5 May, 14:00 - 14:20

SPTM-L3.1: MULTIVIEW GRAPH LEARNING WITH CONSENSUS GRAPH
Abdullah Karaaslanli, Selin Aviyente, Michigan State University, United States of America
Tue, 5 May, 14:20 - 14:40

SPTM-L3.2: Cramér-Rao Bounds for Laplacian Matrix Estimation
Morad Halihal, Ben-Gurion University of the Negev, Israel; Tirza Routtenberg, H. Vincent Poor, Princeton University, Israel
Tue, 5 May, 14:40 - 15:00

SPTM-L3.3: LEARNING GRAPH FROM SMOOTH SIGNALS UNDER PARTIAL OBSERVATION: A ROBUSTNESS ANALYSIS
Hoang-Son Nguyen, Oregon State University, United States of America; Hoi-To Wai, The Chinese University of Hong Kong, Hong Kong
Tue, 5 May, 15:00 - 15:20

SPTM-L3.4: LEARNING PRODUCT GRAPHS FROM TWO-DIMENSIONAL STATIONARY SIGNALS
Andrei Buciulea, Universidad Rey Juan Carlos, Spain; Bishwadeep Das, Elvin Isufi, Delft University of Technology, Netherlands; Antonio García Marqués, Universidad Rey Juan Carlos, Spain
Tue, 5 May, 15:20 - 15:40

SPTM-L3.5: A FRAMEWORK FOR BIPARTITE GRAPH STRUCTURE LEARNING THROUGH EIGENVECTOR PARTITIONING
Xintong Shi, Aimin Jiang, Rui Yang, Yibin Tang, Min Li, Hohai University, China; Yanping Zhu, Changzhou University, China
Tue, 5 May, 15:40 - 16:00

SPTM-L3.6: LEARNING THE STRUCTURE OF CONNECTION GRAPHS
Leonardo Di Nino, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo, Sapienza, Università di Roma, Italy