IEEE CAMSAP 2019
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Sunday, December 15
09:30 - 12:30
Tutorial
T1: Beyond Massive MIMO – New Concepts and Signal Processing
Salle Fort Royal
10:45 - 11:15
Coffee Break
15:00 - 18:00
Tutorial
T2: Connecting the Dots: Identifying Network Structure of Complex Data via Graph Signal Processing
Salle Fort Royal
16:15 - 16:45
Coffee Break
18:15 - 19:45
Student Paper Contest
Terrace
20:00 - 22:00
Welcome Reception
La Créole Beach
Monday, December 16
08:30 - 09:00
Opening Ceremony
09:00 - 09:55
Plenary
Plenary Talk: Ananthram Swami
Salle Fort Royal
09:55 - 10:20
Coffee Break
10:20 - 12:20
SS
MM1: The Intersection of Optimization Theory and Information Processing
Salle Fort Royal
MM2: Beamforming and DoA Estimation
Salle Route du Rhum
SS
MP1: Structured Sparsity for Compressed Sensing Problems
Terrace
SS
MP2: Current Trends in Computational Spectral Sensing and Imaging
Terrace
12:20 - 13:30
Lunch
15:00 - 16:40
SS
MN1: Principles of Dynamics and Control in Machine Learning
Salle Fort Royal
SS
MN2: IoT Signal Processing for Radar Applications
Salle Route du Rhum
16:40 - 17:00
Coffee Break
17:00 - 18:40
SS
MA1: Distributed Learning and Optimization over Networks
Salle Fort Royal
MA2: Computational Imaging
Salle Route du Rhum
19:15 - 20:00
Bus from Conference to Dinner
20:00 - 23:00
Gala Dinner at 'La Toubana'
La Toubana
Tuesday, December 17
09:00 - 09:55
Plenary
Michael Elad - Sparse Modelling of Data and its Relation to Deep Learning
Salle Fort Royal
09:55 - 10:20
Coffee Break
10:20 - 12:20
SS
TM1: Learning over Graphs
Salle Fort Royal
SS
TM2: Robust Statistics for Signal Processing
Salle Route du Rhum
SS
TP1: Signal Processing and Machine Learning Methods for Acoustic Sensor Networks
Terrace
SS
TP2: Computational Biomedical Imaging
Terrace
12:20 - 13:30
Lunch
15:00 - 15:55
Plenary
Plenary Talk: René Vidal
Salle Fort Royal
16:00 - 17:20
TN1: Computational Linear and Multi-Linear Algebra
Salle Fort Royal
SS
TN2: Mathematics of Deep Learning
Salle Route du Rhum
TP3: Signal Processing Applications
Terrace
17:20 - 17:45
Coffee Break
17:45 - 19:45
SS
TA1: Large Random Matrix Theory in Signal Processing and Machine Learning
Salle Fort Royal
TA2: Sparse Signal Processing
Salle Route du Rhum
20:00 - 23:00
Banquet
La Créole Beach
Wednesday, December 18
09:00 - 09:55
Plenary
Plenary Talk: Patrice Abry
Salle Fort Royal
09:55 - 10:20
Coffee Break
10:20 - 12:20
SS
WM1: Structured Matrix and Tensor Methods
Salle Fort Royal
WM2: Optimization and Tracking
Salle Route du Rhum
WP1: Estimation and Detection
Terrace
SS
WP2: Beyond Massive MIMO - New Concepts and Signal Processing
Terrace
12:20 - 13:30
Lunch
15:00 - 15:55
Plenary
Plenary Talk: Ken Ma
Salle Fort Royal
16:00 - 17:20
SS
WN1: Scale-Free and Nonlinear Multivariate Signal and Image Analysis
Salle Fort Royal
WN2: Multi-User Communications
Salle Route du Rhum
SS
WP3: Inference in High-Dimensional Spaces by Monte Carlo Methods
Terrace
SS
WP4: Statistical Physics for Signal Processing and Learning
Terrace
17:20 - 17:45
Coffee Break
17:45 - 19:45
SS
WA1: Machine Learning and Applications to Radar and Array Processing
Salle Fort Royal
WA2: Tensor and Graph Signal Processing
Salle Route du Rhum