The Mathematics of Information Coding, Extraction and Distribution: 107 - Brossura

Brossura

ISBN 10: 1461271789 ISBN 13: 9781461271789

Casa editrice: Springer, 2012

Riassunto

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.

Su questo libro

Contenuti

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.

Product Description

Book by None

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461271789
• ISBN 13: 9781461271789
• Rilegatura: Copertina flessibile
• Numero di pagine: 152
• Redattore: Cybenko George, O'Leary Dianne P., Rissanen Jorma
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania