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The Latest News, Articles, and Events in Signal Processing
The IEEE Signal Processing Magazine (SPM) welcomes members' input to the new column, “Community Voices.” This column provides a vehicle to collect reflections from diverse members of the signal processing community on questions that are of interest to many.
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
The aim of this PhD project is to develop a novel ultrasound methodology that enables non-invasive read-out of the acoustic properties of radiation-sensitive microbubbles in order to construct a dose map. Hereto, acoustic models of wave propagation through soft tissue will be combined with advanced signal processing techniques. The developed methodology will extensively be validated in experimental setups (both in-vitro and in-vivo).
May 29-31, 2018
Location: Sardinia, Italy
Website
Igor Moáco Guerreiro, Federal University of Ceará, Brazil (2017), "Distributed optimization techniques for 4G and beyond", advisor: Charles Casimiro Cavalcante
The Multimedia Signal Processing Technical Committee (MMSP-TC) of the IEEE Signal Processing Society, which is the organizer of the MMSP workshop, invites proposals for the 2020 workshop edition.
The Nominations and Appointments Subcommittee for each Technical Committee is currently seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee. Please provide the name, contact information and biography with the nomination.
The IEEE Board of Directors has approved the 2018 IEEE Technical Field Awards. The complete list of recipients and their citations is online at www.ieee.org/awards. Please feel free to send your notes of congratulations and to publicize the recipients within your IEEE and professional affiliations.
For our July 2017 issue, we cover recent patents granted in the area of image denoising.
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