The Mathematics of Information Coding, Extraction and Distribution

Author:   George Cybenko ,  Dianne P. O'Leary ,  Jorma Rissanen
Publisher:   Springer-Verlag New York Inc.
Edition:   1999 ed.
Volume:   107
ISBN:  

9780387986654


Pages:   137
Publication Date:   07 December 1998
Format:   Hardback
Availability:   In Print   Availability explained
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The Mathematics of Information Coding, Extraction and Distribution


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Overview

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.

Full Product Details

Author:   George Cybenko ,  Dianne P. O'Leary ,  Jorma Rissanen
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1999 ed.
Volume:   107
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   0.870kg
ISBN:  

9780387986654


ISBN 10:   0387986650
Pages:   137
Publication Date:   07 December 1998
Audience:   College/higher education ,  General/trade ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Correspondences 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.

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