MA.L306.5
EPIGRAPHICALLY-RELAXED LINEARLY-INVOLVED GENERALIZED MOREAU-ENHANCED MODEL FOR LAYERED MIXED NORM REGULARIZATION
Akari Katsuma, Seisuke Kyochi, Kogakuin University, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Ivan Selesnick, New York University, United States of America
Session:
MA.L306: Sparse and Low-rank Image Models Lecture
Track:
Computational Imaging Methods and Models
Location:
Room 306
Presentation Time:
Mon, 9 Oct, 12:12 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Onur G. Guleryuz, Google LLC
Session MA.L306
MA.L306.1: END-TO-END TRAINABLE WEAKLY NON-NEGATIVE FACTORIZATION
Takumi Kobayashi, Kenji Watanabe, National Institute of Advanced Industrial Science and Technology, Japan
MA.L306.2: X-Ray spectral estimation using Dictionary Learning
Wenrui Li, Purdue University, United States of America; Venkatesh Sridhar, K. Aditya Mohan, Saransh Singh, Jean-Baptiste Forien, Xin Liu, Lawrence Livermore National Laboratory, United States of America; Gregery T. Buzzard, Charles A. Bouman, Purdue University, United States of America
MA.L306.3: Optimized Coded Aperture Design in Compressive Spectral Imaging via Coherence Minimization
Jianchen Zhu, East-China Research Institute of Computer Technology, China; Bochao Zhao, School of Electrical and Information Engineering, Tianjin University, China
MA.L306.4: MAP-informed Unrolled Algorithms for Hyper-parameter Estimation
Pascal Nguyen, CNRS@CREATE, Singapore; Emmanuel Soubies, CNRS, IRIT, Univ Toulouse, France; Caroline Chaux, CNRS, IPAL, Singapore
MA.L306.5: EPIGRAPHICALLY-RELAXED LINEARLY-INVOLVED GENERALIZED MOREAU-ENHANCED MODEL FOR LAYERED MIXED NORM REGULARIZATION
Akari Katsuma, Seisuke Kyochi, Kogakuin University, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Ivan Selesnick, New York University, United States of America
Contacts