SPS Feed

The Latest News, Articles, and Events in Signal Processing

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11 Jul 2022

SPS IFS TC Webinar: 13 July 2022, by Dr. Martino Jerian

Multimedia contents are deeply intertwined with our lives, and, as a consequence, they've become an invaluable asset also for investigative and evidentiary use. However, there are still numerous open challenges for law enforcement agencies when it comes to acquire, authenticate, enhance, and analyze images and videos for forensic use.

11 Jul 2022

SPS BISP TC Webinar: 5 July 2022, by Dr. Michael Unser

The intent of this webinar is to demonstrate the optimality of splines for the resolution of inverse problems in imaging and the design of deep neural networks. To that end, I first present a representer theorem that states that the extremal points of a broad class of linear inverse problems with a generalized total-variation constraint are adaptive splines whose type is linked to the underlying regularization operator.

07 Jul 2022

(CAI 2023) IEEE Conference on Artificial Intelligence

Date: 5-6 June 2023
Location: Santa Clara, CA, USA

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Conferences

IEEE CAI

Conference on Artificial Intelligence

07 Jul 2022

Lecturer/Senior Lecturer in Audio Engineering (Research and Teaching)

University of Surrey

LECTURER/SENIOR LECTURER IN AUDIO ENGINEERING (RESEARCH AND TEACHING)

University of Surrey

Sound & Video Recording

Location: Guildford

Salary: £42,149 to £61,819 per annum

Post Type: Full Time, Permanent

Closing Date: 23.59 hours BST on Wednesday 20 July 2022

Reference: 042322

06 Jul 2022

2022 IEEE SPS Seasonal School on AI for Optimisation in Signal Processing

July 11-15, 2022
Registration Deadline: July 5, 2022
Location: Virtual

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Seasonal Schools

2022 Seasonal School

Signal Processing Optimization

01 Jul 2022

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective

IEEE Signal Processing Magazine

In addition to the impressive predictive power of machine learning (ML) models, more recently, explanation methods have emerged that enable an interpretation of complex nonlinear learning models, such as deep neural networks. Gaining a better understanding is especially important, e.g., for safety-critical ML applications or medical diagnostics and so on. Although such explainable artificial intelligence (XAI) techniques have reached significant popularity for classifiers, thus far, little attention has been devoted to XAI for regression models (XAIR).

01 Jul 2022

Explainability in Graph Data Science: Interpretability, replicability, and reproducibility of community detection

IEEE Signal Processing Magazine

In many modern data science problems, data are represented by a graph (network), e.g., social, biological, and communication networks. Over the past decade, numerous signal processing and machine learning (ML) algorithms have been introduced for analyzing graph structured data. With the growth of interest in graphs and graph-based learning tasks in a variety of applications, there is a need to explore explainability in graph data science.

01 Jul 2022

Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness

IEEE Signal Processing Magazine

Data-driven solutions are playing an increasingly important role in numerous practical problems across multiple disciplines. The shift from the traditional model-driven approaches to those that are data driven naturally emphasizes the importance of the explainability of solutions, as, in this case, the connection to a physical model is often not obvious. Explainability is a broad umbrella and includes interpretability, but it also implies that the solutions need to be complete, in that one should be able to “audit” them, ask appropriate questions, and hence gain further insight about their inner workings.

01 Jul 2022

Interpretability, Reproducibility, and Replicability

IEEE Signal Processing Magazine

Most of the work we do in signal processing these days is data driven. The shift from the more traditional and model-driven approaches to those that are data driven has also underlined the importance of explainability of our solutions. Because most traditional signal processing approaches start with a number of modeling assumptions, they are comprehensible by the very nature of their construction.

01 Jul 2022

Trusting in the Sciences Requires Explainability

IEEE Signal Processing Magazine

The July issue of IEEE Signal Processing Magazine (SPM) is a special issue focused on “Explainability in Data Science: Interpretability, Reproducibility, and Replicability.” With increased enthusiasm for machine learning, it is a very timely topic, and I invite every IEEE Signal Processing Society (SPS) member to read these very instructive papers.

01 Jul 2022

Joint Webinar with SPS, AES, CTSoc: 15 September 2022 - Three Engineering Societies' Perspectives on Multi-Channel Audio and Psychoacoustics

The Audio Engineering Society (AES), the IEEE Consumer Technology Society (CTSoc), and the IEEE Signal Processing Society (SPS) cordially invite you to a first-of-a-kind joint event discussing the state of the art perspectives in this rapidly evolving field.

01 Jul 2022

SPS Pioneers in IEEE History: Shrikanth (Shri) Narayanan - Guggenheim 2022 Fellow

Shrikanth (Shri) Narayanan is University Professor and Niki & C. L. Max Nikias Chair in Engineering at the University of Southern California, where he is Professor of Electrical & Computer Engineering, Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology-Head & Neck Surgery, Director of the Ming Hsieh Institute and Research Director of the Information Sciences Institute.

01 Jul 2022

Job Opportunities in Signal Processing

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

01 Jul 2022

Get Involved with Technical Committees by becoming a TC Affiliate

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

01 Jul 2022

IEEE SPS & IEEE HAC Projects Call for Proposals on Signal Processing Technologies for Local Community Challenges

The IEEE Signal Processing Society is excited to announce we are partnering with the IEEE Humanitarian Activities Committee (HAC) to conduct a special Call for Proposals to support projects in SPS chapters that utilize Signal Processing technologies to address local community challenges.

01 Jul 2022

Ph.D. Thesis: AI-Powered System-Scientific Defense for High-Confidence Cyber-Physical Systems: Modeling, Analysis, and Design

This dissertation develops Defense through AI-powered SYstem-scientific methods (DAISY) for high-confidence Cyber-Physical Systems (CPSs). We start by designating five generations of Security Paradigms (SPs) that have evolved since the birth of the Internet.

01 Jul 2022

Call for Nominations: Technical Committee Vice Chair and Member Positions

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, IEEE member number, and biography with the nomination.