We are working together with Elsevier to publish a book tentatively entitled Tensors for Data Processing.
The aim is to provide principles and methods and state of the art research for undergraduates, graduates, researchers and practitioners. It will be available in print and electronically. The book’s topics of interest includes, but are not limited to:
1. tensor for data processing challenges
2. fundamentals on tensor computation
3. introduction on tensor decomposition
4. tensor completion
5. tensor subspace clustering
6. tensor subspace tracking
7. tensor graphical model
8. tensor neural networks
9. tensor regression
10. multilinear discriminative component analysis
11. tensor independent component analysis
12. tensor principal component analysis
13. linked tensor component analysis
14. coupled tensor for data fusion
15. compressive sensing of tensor
16. tensor for blind source separation
17. tensor for image segmentation
18. tensor for image registration
19. tensor for feature extraction
20. tensor for image’s quality assessment
21. tensor for recommender systems
22. tensor for wireless communication
23. tensor for wireless location
24. tensor for radar
25. tensor for computational imaging
26. tensor for multi-view image clustering
27. tensor for speech and audio processing
28. tensor for neuroimage
29. tensor for biomedical monitoring
Elsevier reports that books on principles and methods are highly used in electronic form by students and researchers who are able to download chapters through their library. They are also the type of books most bought in print form, and are most cited. All individual chapters will be indexed by Google Scholar and Scopus.
As you are a recognized excellent expert in this field, we cordially invite you to contribute a book chapter on this topic providing an explanation of the principles, methods and applications. Note that the chapter topic is tentative and you are welcome to suggest a different title or a different but related topic.
Although this book is an edited volume, it will be tightly integrated as a cohesive whole, with a common specification.
Please feel free to contact me, if you are interested in it, please.
Best Regards,
Yipeng