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My ICASSP 2019 Schedule

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SPTM-P9: Signal Processing Over Graphs II

Session Type: Poster
Time: Thursday, May 16, 15:30 - 17:30
Location: Poster Area I, East Bar, First Floor
Session Chair: Selin Aviyente, Michigan State University
 
  SPTM-P9.1: A DISCRETE SIGNAL PROCESSING FRAMEWORK FOR MEET/JOIN LATTICES WITH APPLICATIONS TO HYPERGRAPHS AND TREES
         Markus Püschel; ETH Zurich
 
  SPTM-P9.2: OPTIMIZED QUANTIZATION IN DISTRIBUTED GRAPH SIGNAL PROCESSING
         Isabela Cunha Maia Nobre; École Polytechnique Fédérale de Lausanne
         Pascal Frossard; École Polytechnique Fédérale de Lausanne
 
  SPTM-P9.3: LOW-RANK ESTIMATION BASED EVOLUTIONARY CLUSTERING FOR COMMUNITY DETECTION IN TEMPORAL NETWORKS
         Esraa Al-sharoa; Michigan State University
         Mahmood Al-khassaweneh; University of Detroit Mercy
         Selin Aviyente; Michigan State University
 
  SPTM-P9.4: GRAPH SIGNAL REPRESENTATION WITH WASSERSTEIN BARYCENTERS
         Effrosyni Simou; École Polytechnique Fédérale de Lausanne
         Pascal Frossard; École Polytechnique Fédérale de Lausanne
 
  SPTM-P9.5: IMPROVING GRAPH TREND FILTERING WITH NON-CONVEX PENALTIES
         Rohan Varma; Carnegie Mellon University
         Harlin Lee; Carnegie Mellon University
         Yuejie Chi; Carnegie Mellon University
         Jelena Kovačević; New York University
 
  SPTM-P9.6: RECONSTRUCTION-COGNIZANT GRAPH SAMPLING USING GERSHGORIN DISC ALIGNMENT
         Yuanchao Bai; Peking University
         Gene Cheung; York University
         Fen Wang; Xidian University
         Xianming Liu; Harbin Institute of Technology
         Wen Gao; Peking University
 
  SPTM-P9.7: LAPPED TRANSFORMS: A GRAPH-BASED EXTENSION
         Keng-Shih Lu; University of Southern California
         Antonio Ortega; University of Southern California
 
  SPTM-P9.8: TENSOR ROBUST PCA ON GRAPHS
         Nauman Shahid; United Technologies Research Center
         Francesco Grassi; United Technologies Research Center
         Pierre Vandergheynst; École Polytechnique Fédérale de Lausanne
 
  SPTM-P9.9: TIME-VARYING GRAPH LEARNING BASED ON SPARSENESS OF TEMPORAL VARIATION
         Koki Yamada; Tokyo University of Agriculture and Technology
         Yuichi Tanaka; Tokyo University of Agriculture and Technology
         Antonio Ortega; University of Southern California
 
  SPTM-P9.10: ROBUST LEAST MEAN SQUARES ESTIMATION OF GRAPH SIGNALS
         Jari Miettinen; Aalto University, School of Electrical Engineering
         Sergiy A Vorobyov; Aalto University, School of Electrical Engineering
         Esa Ollila; Aalto University, School of Electrical Engineering
 
  SPTM-P9.11: ADMM-BASED BIPARTITE GRAPH APPROXIMATION
         Aimin Jiang; Hohai University
         Jiaan Wan; Hohai University
         Yibin Tang; Hohai University
         Beilu Ni; Hohai University
         Yanping Zhu; Changzhou University
 
  SPTM-P9.12: TROPICAL MODELING OF WEIGHTED TRANSDUCER ALGORITHMS ON GRAPHS
         Emmanouil Theodosis; National Technical University of Athens
         Petros Maragos; National Technical University of Athens