Technical Program

BD-P2: Signal Processing for Big Data III

Session Type: Poster
Time: Wednesday, March 8, 13:30 - 15:30
Location: Churchill: Poster Area I
Session Chair: Moncef Gabbouj, Tampere University of Technology
 
BD-P2.1: SMOOTH GRAPH SIGNAL RECOVERY VIA EFFICIENT LAPLACIAN SOLVERS
Presentation Link:  Click here to view presentation
         Gita Babazadeh Eslamlou; Technical University of Vienna
         Alexander Jung; Aalto University
         Norbert Goertz; Vienna University of Technology
 
BD-P2.2: LEARNING CONDITIONAL INDEPENDENCE STRUCTURE FOR HIGH-DIMENSIONAL UNCORRELATED VECTOR PROCESSES
         Nguyen Tran Quang; Aalto University
         Alexander Jung; Aalto University
 
BD-P2.3: NETWORK DISCOVERY USING CONTENT AND HOMOPHILY
         Steven Smith; MIT Lincoln Laboratory
         Rajmonda Caceres; MIT Lincoln Laboratory
         Kenneth Senne; MIT Lincoln Laboratory
         Molly McMahon; MIT Lincoln Laboratory
         Timothy Greer; MIT Lincoln Laboratory
 
BD-P2.4: SPECTRAL STATISTICS OF LATTICE GRAPH STRUCTURED, NON-UNIFORM PERCOLATIONS
         Stephen Kruzick; Carnegie Mellon University
         José M. F. Moura; Carnegie Mellon University
 
BD-P2.5: DYNAMIC RECONSTRUCTION OF INFLUENCE GRAPHS WITH ADAPTIVE DIRECTED INFORMATION
         Brandon Oselio; University of Michigan
         Alfred O. Hero; University of Michigan
 
BD-P2.6: LATENT TREE APPROXIMATION IN LINEAR MODEL
         Navid Tafaghodi Khajavi; University of Hawaii at Manoa