Introduction to the Special Issue on Tensor Decomposition for Signal Processing and Machine Learning

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Introduction to the Special Issue on Tensor Decomposition for Signal Processing and Machine Learning

By: 
Hongyang Chen; Sergiy A. Vorobyov; Hing Cheung So; Fauzia Ahmad; Fatih Porikli

The papers in this special section focus on tensor decomposition for signal processing and machine learning. Tensor decomposition, also called tensor factorization, is useful for representing and analyzing multi-dimensional data. Tensor decompositions have been applied in signal processing applications (speech, acoustics, communications, radar, biomedicine), machine learning (clustering, dimensionality reduction, latent factor models, subspace learning), and well beyond. These tools aid in learning a variety of models, including community models, probabilistic context-free-grammars, Gaussian mixture model, and two-layer neural networks. Although considerable research has been carried out in this area, there are many challenges still outstanding that need to be explored and addressed; some examples being tensor deflation, massive tensor decompositions, and high computational cost of algorithms. The multi-dimensional nature of the signals and even “bigger” data, particularly in next-generation advanced information and communication technology systems, provide good opportunities to exploit tensor-based models and tensor networks, with the aim of meeting the strong requirements on system flexibility, convergence, and efficiency.

SPS on Twitter

  • This Wednesday, join the Information Forensics and Security Technical Committee Webinar Series when Dr. Richard Heu… https://t.co/ORdtuq5SlQ
  • Our Biomedical Imaging and Signal Processing Webinar Series continues on Tuesday, 5 July when Michael Unser present… https://t.co/7bYh8ZPHI0
  • Join us TODAY at 11:00 AM ET when the Brain Space Initiative Talk Series continues with Dr. Tianming Liu presenting… https://t.co/MEfnzk6dAE
  • Our 75th anniversary is approaching in 2023, and we're celebrating with a Special Issue of IEEE Signal Processing M… https://t.co/U6UNv8kLSO
  • The SPS Webinar Series continues on Monday, 20 June when Dr. Zhijin Qin presents "Semantic Communications: Principl… https://t.co/FhI7aP3GLi

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar