The Mathematics of Information Coding, Extraction and Distribution

1. Front Matter

   Pages i-ix

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2. Correspondences Between Variable Length Parsing and Coding Problems

   • Julia Abrahams

   Pages 1-7

3. The Foundations of Information Push and Pull

   • George Cybenko, Brian Brewington

   Pages 9-30

4. Copyright? Protection?

   • Cynthia Dwork

   Pages 31-47

5. Lossy Compression, Classification, and Regression

   • Robert M. Gray

   Pages 49-71

6. Latent Semantic Indexing Via a Semi-Discrete Matrix Decomposition

   • Tamara G. Kolda, Dianne P. O’leary

   Pages 73-80

7. Worst Case Prediction over Sequences under Log Loss

   • Manfred Opper, David Haussler

   Pages 81-90

8. Issues in Multimedia Databases: Coding for Content-Based Image Retrieval and Digital Copyright Protection

   • Mitchell D. Swanson, Ahmed H. Tewfik

   Pages 91-130

9. Back Matter

   Pages 131-137

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High performance computing consumes and generates vast amounts of data, and the storage, retrieval, and transmission of this data are major obstacles to effective use of computing power. Challenges inherent in all of these operations are security, speed, reliability, authentication and reproducibility. This workshop focused on a wide variety of technical results aimed at meeting these challenges. Topics ranging from the mathematics of coding theory to the practicalities of copyright preservation for Internet resources drew spirited discussion and interaction among experts in diverse but related fields. We hope this volume contributes to continuing this dialogue.

• Variable
• classification
• coding
• coding theory
• databases
• information
• mathematics
• multimedia

• Thayer School of Engineering, Dartmouth College Hanover, USA

  George Cybenko

• Department of Computer Science and Institute for Advanced Computer Studies, University of Maryland, College Park, USA

  Dianne P. O’Leary

• IBM Almaden Research Center, San Jose, USA

  Jorma Rissanen

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