TU1.AUD.4
Minimum-Volume Nonnegative Matrix Completion
Olivier Vu thanh, Nicolas Gillis, University of Mons, Belgium
Session:
TU1.AUD: Compressed Sensing, Sparse Modeling and Signal Reconstruction Lecture
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Auditorium
Presentation Time:
Tue, 27 Aug, 12:00 - 12:20 France Time (UTC +1)
Session Chair:
Clémence Prévost, Université de Lille
Presentation
Discussion
Resources
No resources available.
Session TU1.AUD
TU1.AUD.1: Adaptive Block Sparse Regularization under Arbitrary Linear Transform
Takanobu Furuhashi, Hidekata Hontani, Tatsuya Yokota, Nagoya Institute of Technology, Japan
TU1.AUD.2: Adaptive Integrate-and-Fire Time Encoding Machine
Aseel Omar, Alejandro Cohen, Technion—Israel Institute of Technology, Israel
TU1.AUD.3: Matching Pursuit Covariance Learning
Esa Ollila, Aalto University, Finland
TU1.AUD.4: Minimum-Volume Nonnegative Matrix Completion
Olivier Vu thanh, Nicolas Gillis, University of Mons, Belgium
TU1.AUD.5: ORTHOGONAL MATCHING PURSUIT-BASED ALGORITHMS FOR THE BIRKHOFF-VON NEUMANN DECOMPOSITION
Damien Lesens, ENS de Lyon, France; Jérémy E. Cohen, Bora Ucar, CNRS, France
TU1.AUD.6: Bits, Channels, Frequencies and Unlimited Sensing: Pushing the Limits of Sub-Nyquist Prony
Václav Pavlíček, Ruiming Guo, Ayush Bhandari, Imperial College London, United Kingdom