IEEE TMM Special Issue on Multimedia Big Data for Extreme Events
Manuscript Due: March 1, 2018
Publication Date: November 2018
CFP Document
In today’s world, the environment is unavoidably prone to the unexpected occurrence of unpredictable events. Whatever the kinds of unexpected occurrences are, be they threats to safety or security breach, in the final analysis they are all known to be uncertainties, which in turn, bring us to think in terms of risk.
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.
The 16th International Workshop on Acoustic Signal Enhancement (IWAENC) will be held at Hitotsubashi Hall in Tokyo, Japan, on September 17 – 20, 2018. IWAENC was established in 1993, originally as the International Workshop on Acoustic Echo and Noise Control (this is how the abbreviation IWAENC came into use). It is the leading workshop in the signal processing community addressing theoretical and technical issues related to acoustic and speech signal acquisition and processing.
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