Deep Dictionary Learning
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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.
Content
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
