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Manuscript Due: March 1, 2018
Publication Date: November 2018
CFP Document
Lecture Date: September 19, 2017
Chapter: Hawaii
Chapter Chair: John Imperial
Topic: Data Fusion through Matrix and Tensor Decompositions:
Diversity, Identifiability, and Interpretability
September 19-22, 2021
Location: Note: Location changed to--Virtual Conference
Senior Speech Recognition Engineer
Location: Cambridge, UK
Contact: careers@speechmatics.com
Background
Video distribution services have been growing exponentially in the past decade. Cisco Visual Network Index Report predicts that globally, IP video traffic will be 82 percent of all consumer Internet traffic by 2020, up from 70 percent in 2015.
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