Lectures

Lecture Date: November 17, 2017
Chapter: France
Chapter Chair: William Puech
Topic: Data Fusion through Matrix and Tensor Decompositions:
Diversity, Identifiability, and Interpretability

Lecture Date: October 2, 2017
Chapter: Chicago
Chapter Chair: Rashid Ansari
Topic: Extended Sure Independence Screening for Big Data Analytics

Lecture Date: September 22-23, 2017
Chapter: Beijing
Chapter Chair: Qiuqi Ruan
Topic: Morphological and Variational Methods in Image Analysis and Computer Vision

Lecture Date: December 26, 2017
Chapter: Israel
Chapter Chair: Arie Yeredor
Topic: Sparse Signal Recovery in Bilinear Inverse Problems

Lecture Date: September 19, 2017
Chapter: Hawaii
Chapter Chair: John Imperial
Topic: Data Fusion through Matrix and Tensor Decompositions:
Diversity, Identifiability, and Interpretability

Lecture Date: September 25, 2017
Chapter: Tokyo
Chapter Chair: Shoji Makino
Topic: Data Fusion through Matrix and Tensor Factorizations:
Uniqueness, Diversity, and Interpretability

Lecture Date: September 22, 2017
Chapter: Kansai (Japan)
Chapter Chair: Tatsuya Kawahara
Topic: Multiset and Multimodal Data Fusion: Benefits of Fully Exploiting Diversity

Lecture Date: April 27, 2017
Chapter: France
Chapter Chair: Jacques Blanc-Talon
Topic: Marked Point Processes For Object Detection and Tracking in High Resolution Images:
Applications to Remote Sensing and Biology

Lecture Date: May 3, 2017
Chapter: Greece
Chapter Chair: Kostas Berberidis
Topic: Enhancing QoS in Beamforming Networks: Mobile Beamformers
and Optimal Motion Policies

Lecture Date: April 27/28, 2017
Chapter: Iowa
Chapter Chair: Zhengdao Wang
Topic: When Power Meets Multimedia: Advances in Information Forensics
Exploiting Micro-Signals