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＜電子ブック＞
The Mathematics of Information Coding, Extraction and Distribution / edited by George Cybenko, Dianne P. O'Leary, Jorma Rissanen
(The IMA Volumes in Mathematics and its Applications. ISSN:21983224 ; 107)

版	1st ed. 1999.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1999
本文言語	英語
大きさ	IX, 137 p : online resource
著者標目	Cybenko, George editor O'Leary, Dianne P editor Rissanen, Jorma editor SpringerLink (Online service)
件　名	LCSH:Mathematics LCSH:Coding theory LCSH:Information theory FREE:Applications of Mathematics FREE:Coding and Information Theory
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-1-4612-1524-0

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