The Mathematics of Information Coding, Extraction and Distribution
(Sprache: Englisch)
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,...
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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.
Inhaltsverzeichnis zu „The Mathematics of Information Coding, Extraction and Distribution “
Foreword.- Preface.- Correspondances Between Variable Length Parsing And Coding Problems.- The Foundations Of Information Push And Pull.- Copyright?- Protection?- Lossy Compression, Classification, And Regression.- Latent Semantic Indexing Via A Semi-Discrete Matrix Decomposition.- Worst Case Prediction Over Sequences Under Log Loss.- Issues In Multimedia Databases: Coding For Content-Based Image Retrieval And Digital Copyright Protection.
Bibliographische Angaben
- 1998, 1999, 137 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Ed. by George Cybenko, Dianne P. O'Leary and Jorma Rissanen
- Herausgegeben: George Cybenko, Jorma Rissanen, Dianne P. O'Leary
- Verlag: Springer, New York
- ISBN-10: 0387986650
- ISBN-13: 9780387986654
- Erscheinungsdatum: 07.12.1998
Sprache:
Englisch
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