TMTSP-L3.4
FASTER INFERENCE OF CELL COMPLEXES FROM FLOWS VIA MATRIX FACTORIZATION
Til Spreuer, Josef Hoppe, Michael T. Schaub, RWTH Aachen University, Germany
Session:
TMTSP-L3: Compressed sensing and sparse modeling Lecture
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Sala Massimo
Presentation Time:
Thu, 11 Sep, 16:30 - 16:50 Italy Time (UTC +2)
Session Co-Chairs:
Antonio Fazzi, Université de Lorraine and Abdelhak Zoubir, TU Darmstadt
Presentation
Discussion
Resources
No resources available.
Session TMTSP-L3
TMTSP-L3.1: SIGNAL ESTIMATION FROM CORRELATION VECTORS WITH STRUCTURED LOW-RANK APPROXIMATION
Antonio Fazzi, Julien Flamant, Konstantin Usevich, Université de Lorraine, France
TMTSP-L3.2: On the Performance of Sensing Matrix Design-Based Alternating Minimization Approach for Compressive Sensing
Baghdad HADJI, Faculty of Technology, Saida University, 20000 Saida, Algeria, Algeria; Abdeldjalil Aissa-El-Bey, IMT Atlantique, UMR CNRS 6285 Lab-STICC, Brest F-29238, France, France; Lamya Fergani, LISIC Laboratory,University of Science and Technology Houari Boumediene, Algiers, Algeria, Algeria; Mustapha Djeddou, Ecole Nationale Polytechnique, Algeria
TMTSP-L3.3: A HIERARCHICAL VIEW OF STRUCTURED SPARSITY IN KRONECKER COMPRESSIVE SENSING
Yanbin He, Geethu Joseph, Delft University of Technology, Netherlands
TMTSP-L3.4: FASTER INFERENCE OF CELL COMPLEXES FROM FLOWS VIA MATRIX FACTORIZATION
Til Spreuer, Josef Hoppe, Michael T. Schaub, RWTH Aachen University, Germany
TMTSP-L3.5: A Douglas-Rachford Splitting Algorithm for the LiGME Model with Applications in Piecewise-Constant Signal Recovery
Masao Yamagishi, Hosei University, Japan