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Deep Dictionary Learning: A Signal Processing Perspective on Deep Representations book cover

1st Edition

Deep Dictionary Learning A Signal Processing Perspective on Deep Representations

By Angshul Majumdar Copyright 2027
192 Pages
by CRC Press

Deep Dictionary Learning: Synthesis and Analysis challenges the way we think about deep learning. Instead of treating models as opaque stacks of nonlinear layers, this book reveals a cleaner, more structured alternative rooted in representation and insight. It reframes “depth” not as complexity for its own sake, but as a principled way to build meaning from data—offering a perspective that is... Read more

Foreword              

Acknowledgements            

1              Introduction, Motivation and Background    

2              Deep Dictionary & Transform Learning:  Greedy vs End-to-End

3              Inverse Problems

4              Supervised Learning

5              Clustering

6              Domain Adaptation

7              Convolutional Models

8              Conclusion

Biography

Angshul Majumdar is a Professor at the Indraprastha Institute of Information Technology Delhi, where he has been a faculty member since 2012. He received his MASc (2009) and PhD (2012) in Electrical and Computer Engineering from the University of British Columbia, Vancouver. His research interests lie in signal processing and machine learning, with a focus on sparse and low-rank modelling, dictionary and transform learning, and their applications in imaging and data analytics. He has co-authored over 200 papers in journals and top-tier conferences, written three books, and co-edited two more. He also holds ten US and European patents. Angshul currently serves as an Associate Editor for IEEE Transactions on Multimedia and as a Senior Area Editor for both the IEEE Open Journal of Signal Processing and IEEE Signal Processing Letters.

 

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