The Mathematics of Information Coding, Extraction and Distribution

George Cybenko, Dianne P. O'Leary, Jorma Rissanen

130 pages, parution le 01/01/1998

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Résumé

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.

Contents

Foreword
Preface

Correspondence between variable length parsing and coding problems 1
The foundations of information push and pull 9
Copyright? Protection? 31
Lossy compression, classification, and regression 49
Latent semantic indexing via a semi-discrete matrix decomposition 73
Worst case prediction over sequences under log loss 81
Issues in multimedia databases: Coding for content-based image retrieval and digital copyright protection 91

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	George Cybenko, Dianne P. O'Leary, Jorma Rissanen
Parution	01/01/1998
Nb. de pages	130
Format	16 x 24
Couverture	Relié
Poids	398g
Intérieur	Noir et Blanc
EAN13	9780387986654
ISBN13	978-0-387-98665-4