TMTSP-P7: Optimization Methods
Thu, 3 Sep, 16:00 - 17:40 Belgium Time (UTC +2)
Location: Balcony II East
Session Type: Poster
Track: TMTSP - Theoretical and Methodological Trends in Signal Processing

TMTSP-P7.2: MULTIRESOLUTION ADAPTIVE BLOCK-COORDINATE FORWARD-BACKWARD FOR IMAGE RECONSTRUCTION

Edgar Desainte-Maréville, Marion Foare, Paulo Gonçalves, Nelly Pustelnik, Elisa Riccietti, ENS Lyon, France

TMTSP-P7.3: Reinterpreting EMML as Mirror Descent for Constrained Maximum Likelihood Estimation

Antonin Clerc, Univ. Bordeaux, CNRS, Bordeaux INP, IMB, UMR 5251, France; Ségolène Martin, Technische Universität Berlin, Germany; Nicolas Papadakis, Univ. Bordeaux, CNRS, Bordeaux INP, IMB, UMR 5251, France; Gabriele Steidl, Technische Universität Berlin, Germany

TMTSP-P7.4: A CONVEX OPTIMIZATION FRAMEWORK FOR FEATURE AWARE GRAPH COARSENING

Abhishek Gupta, Bhishm Tripathi, Gourab Panda, Indian Institute of Technology Delhi, India; Manoj Kumar, Indian Institute of Technology, Roorkee, India; Sandeep Kumar, Indian Institute of Technology, Delhi, India

TMTSP-P7.5: Convexity Meets Curvature: Lifted Near-Field Super-Resolution

Sajad Daei, Gabor Fodor, Mikael Skoglund, KTH Royal Institute of Technology, Sweden

TMTSP-P7.7: Fully Recursive LBF Algorithm for Identification of Complex-Valued Time-Varying Systems

Artur Gancza, Krzysztof Dudziak, Gdansk University of Technology, Poland

TMTSP-P7.9: Physics-Aware Linearized ADMM and Its Unrolling

Satoshi Takabe, Shunta Arai, Institute of Science Tokyo, Japan; Tadashi Wadayama, Nagoya Institute of Technology, Japan

TMTSP-P7.10: Escaping swamps through complex space for real canonical polyadic decomposition

Charlotte Vermeylen, Nico Vervliet, Lieven De Lathauwer, KU Leuven, Belgium