TMTSP-L1.3
Unrolled Denoising of Attributes on Graphs with Local-and-Global Smoothness Assumption
Reina Kaneko, Junya Hara, Hiroshi Higashi, Yuichi Tanaka, The University of Osaka, Japan
Session:
TMTSP-L1: Statistical and Data-Driven Signal Processing Lecture
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Bellini
Presentation Time:
Tue, 9 Sep, 11:30 - 11:50 Italy Time (UTC +2)
Session Chair:
Yuichi Tanaka, The University of Osaka
Presentation
Discussion
Resources
No resources available.
Session TMTSP-L1
TMTSP-L1.1: BAYESIAN UNSUPERVISED MULTIFRACTAL IMAGE SEGMENTATION USING A MULTISCALE GRAPH LABEL PRIOR
Kareth León, Jean-Yves Tourneret, University of Toulouse, France; Abderrahim Halimi, Heriot-Watt University, United Kingdom; Herwig Wendt, University of Toulouse, France
TMTSP-L1.2: FAST BAYESIAN ESTIMATION USING LOCATION-TYPE VARIATIONAL REPRESENTATIONS
Jan Dorazil, Brno University of Technology, Czech Republic; Franz Hlawatsch, Bernard H. Fleury, TU Wien, Austria; Radim Burget, Brno University of Technology, Czech Republic
TMTSP-L1.3: Unrolled Denoising of Attributes on Graphs with Local-and-Global Smoothness Assumption
Reina Kaneko, Junya Hara, Hiroshi Higashi, Yuichi Tanaka, The University of Osaka, Japan
TMTSP-L1.4: Performance Analysis of Hyperparameter Optimization in Sparse Bayesian Learning via Stein’s Unbiased Risk Estimator
fangqing xiao, Dirk Slock, Eurecom, France
TMTSP-L1.5: STATE-SPACE PARTITIONING VIA GRANGER CAUSALITY FOR LOCAL PARTICLE FILTERS
Andrea Quintanilla, Víctor Elvira, University of Edinburgh, United Kingdom