2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

Technical Program

O.1: Data Compression

Session Type: Lecture
Track: Source Coding
Virtual Session: View on Virtual Platform
Session Chair: Marcelo Weinberger, Center for Science of Information
 
O.1.1: A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs
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         Payam Delgosha; UC Berkeley
         Venkat Anantharam; UC Berkeley
 
O.1.2: On a Redundancy of AIFV-m Codes for m = 3, 5
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         Ryusei Fujita; University of Fukui
         Ken-ichi Iwata; University of Fukui
         Hirosuke Yamamoto; The University of Tokyo
 
O.1.3: A Universal Data Compression Scheme based on the AIVF Coding Techniques
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         Hirosuke Yamamoto; The University of Tokyo
         Koki Imaeda; Fukui University
         Kengo Hashimoto; Fukui University
         Ken-ichi Iwata; Fukui University
 
O.1.4: On D-ary Fano Codes
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         Ferdinando Cicalese; University of Verona
         Eros Rossi; University of Verona
 
O.1.5: $O(\log \log n)$ Worst-Case Local Decoding and Update Efficiency for Data Compression
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         Shashank Vatedka; Indian Institute of Technology Hyderabad
         Venkat Chandar; DE Shaw
         Aslan Tchamkerten; Telecom Paris
 
O.1.6: Data Deduplication with Random Substitutions
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         Hao Lou; University of Virginia
         Farzad Farnoud; University of Virginia
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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