The November 2017 special issue of SPM on deep learning for visual understanding surveyed deep-learning solutions under reinforcement; weakly supervised and multimodal settings, investigated their robustness; and presented overviews of their applications in domain adaptation, hashing, semantic segmentation, metric learning, inverse problems in imaging, image-to-text generation, and picture-quality assessment.

The IEEE Signal Processing Magazine page has a new look on the IEEE Signal Processing Society (SPS) website, and you can access it anywhere! The new page showcases the leading-edge content in a new design format.

Rabab Ward
Chair, 2018-2019 SPS Nominations and Appointments Committee
In accordance with the Bylaws of the IEEE Signal Processing Society, the membership will elect, by direct ballot, THREE Members-at-Large to the Board of Governors for three-year terms commencing 1 January 201​9 and ending 31 December 2021​, as well as TWO Regional Directors-at-Large...

Wearable sensor technology has improved substantially in recent years – and the personalized healthcare movement is reaping the benefits. Specifically, advancements in miniaturization, smart materials, low-power consumption and ruggedness have transformed ubiquitous monitoring.

Webinar Details: 21 March 2018 from 11:00am - 12:00pm (EDT) 
Attendee Registration Link: Register for Webinar, by Dr. Xiao-Ping (Steven) Zhang
Topic: Fundamentals on Signal Processing for Finance and Economics

The IEEE Signal Processing Society is very excited to offer the next webinar in our new series featuring “technical and technological innovations and their applications in signal processing” from top researchers and thought leaders in academia and industry. 

The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications.

Author: Song-Wen Huang  (University at Buffalo, the State University of New York) Advisor: Dimitris A. Pados
Radio frequency and underwater acoustic communications have grown rapidly in environmental monitoring, telecommunications, offshore oil exploration, and surveillance applications. Nonetheless, signals may still suffer from harsh challenges in wireless fading channels for high attenuation, multipath effect, and Doppler spread. 

Speech and Language processing (SLP) is essentially a series of sequence-to-sequence learning problems. Conventional SLP systems map input to output sequences through module-based architectures where each module is independently trained.