January 2016

Big data has burst into public awareness over the past few years as people have become more and more aware of the massive amount of data being produced by social and scientific activities, and its potential utilization for good or harm. This special issue on "Big Data: Theoretical Aspects", published in Proceedings of the IEEE Jan. 2016, highlights a number of algorithmic approaches that are fundamental to data analysis, both in formulating and solving problems.

Keator, David B. (University of California, Irvine) “Probabilistic Models for Brain Image Collection, Classification and Functional Connectivity”, (2015) Advisor: Ihler, Alexander

Tatoglu, Akin. (Stevens Institute of Technology) “Modified monocular SLAM with concurrent model parameter identification”, (2015) Advisor: Pochiraju, Kishore

For our January 2016 issue, we cover recent patents granted in the area of texture recognition and texture analysis, used for painted surface analysis, image inpainting, skin texture recognition, video coding, fingerprint liveness detection and document comparison.

Researchers at MIT, New York University, and the University of Toronto have developed a computer system whose ability to produce a variation of a character in an unfamiliar writing system, on the first try, is indistinguishable from that of humans.

In this series, we introduce a scientist, who makes use of signal processing techniques for his research findings, by means of an interview. This month, we are happy to introduce Dr. Florian Meyer from Vienna University of Technology, whose research interests mainly focus on message passing algorithms for statistical inference.

Meyer, Florian (Vienna University of Technology) "Navigation and Tracking in Networks: Distributed Algorithms for Cooperative Estimation and Information-Seeking Control" (2015), Advisor: Hlawatsch, Franz.

Abstract

Please visit the Conferences and Events page on the IEEE Signal Processing Society website for upcoming Lectures by Distinguished Lecturers.

The fourth IEEE Global Conference on Signal and Information Processing (GlobalSIP) will be held in Greater Washington, DC, USA on December 7–9, 2016. GlobalSIP has rapidly assumed flagship status within the IEEE Signal Processing Society. It focuses on signal and information processing and up-and-coming signal processing themes. The conference aims to feature world-class speakers, tutorials, exhibits, and oral and poster sessions. GlobalSIP is comprised of co-located symposia selected based on responses to the Call for Symposium Proposals. Topics include but are not limited to: