Lectures

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: December 20, 2017
Chapter: New Zealand Central/North/South
Chapter Chair: Yusuke Hioka
Topic: "Hierarchical joint classification models for multi-resolution,
multi-temporal and multi-sensor remote sensing images. Application to natural disasters"

Lecture Date: December 15, 2017
Chapter: New South Wales (Australia)
Chapter Chair: Ollencio R D'Souza
Topic: Marked Point Processes for Object Detection in High Resolution Images:
Application to Earth Observation and Cartography

Lecture Date: December 11, 2017
Chapter: Victorian (Australia)
Chapter Chair: Abd-Krim Seghouane
Topic: Marked Point Processes for Object Detection in High Resolution Images:
Application to Earth Observation and Cartography

Lecture Date: December 1, 2017
Chapter: Hong Kong
Chapter Chair: Lai-Man Po
Topic: Marked Point Processes for Object Detection in High Resolution Images:
Application to Earth Observation and Cartography

Lecture Date: December 5, 2017
Chapter: Western Australia
Chapter Chair: Nan Yang
Topic: Marked Point Processes for Object Detection in High Resolution Images: Application to Earth Observation and Cartography

Lecture Date: August 1, 2017
Chapter: Oakland-East Bay
Chapter Chair: Ryan Goldhahn
Topic: Marked Point Processes for Object Detection in High Resolution Images: Application to Earth Observation and Cartography

Lecture Date: July 31, 2017
Chapter: Oakland-East Bay
Chapter Chair: Ryan Goldhahn
Topic: Marked Point Processes for Object Detection in High Resolution Images: Application to Earth Observation and Cartography

Lecture Date: July 28, 2017
Chapter: Singapore
Chapter Chair: Hong Cao
Topic: Optimum Functional Forms of Spoofing Attacks, Optimum Processing
for Man-in-the-Middle Attacks and Interesting Implications to Unattacked
Quantized Sensor Estimation and IoT Systems