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Wiley-Interscience | ISBN: 0471316547 | 2001-02-15 | PDF (OCR) | 200 pages | 1.95 Mb
Written by an award-winning leader in the field, this is a thoroughly integrated overview of the many facets and disciplines of optical scanning. Of particular utility to both practitioner and student are such features as: An overview of the technology and unifying principles, including active and passive scanning, optical transfer, and system architecture.
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Beijing Normal University Press | ISBN: 7303053247 | 2000-05-20 | PDF (OCR) | 360 pages | 5.68 Mb
This is the third volume of Collected Papers by Lotfi A.Zadeh.
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Springer | ISBN: 3540225722 | 2004-10-15 | PDF (OCR) | 273 pages | 2.34 Mb
Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering.
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Publisher: Cambridge University Press | ISBN: 0521008905 | edition 2001 | PDF | 252 pages | 1,2mb
The design of code and cipher systems has undergone major changes in modern times. Powerful personal computers have resulted in an explosion of e-banking, e-commerce and e-mail, and as a consequence the encryption of communications to ensure security has become a matter of public interest and importance.
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Springer | ISBN: 3540221565 | 2004-07-27 | PDF (OCR) | 451 pages | 20.26 Mb
This book constitutes the refereed proceedings of the 6th International Algorithmic Number Theory Symposium, ANTS 2004, held in Burlington, VT, USA, in June 2004. The 30 revised full papers presented together with 3 invited papers were carefully reviewed and selected for inclusion in the book.
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Springer | ISBN: 0387212450 | April 12, 2005 | 552 pages | PDF | 35 MB
Coding is an highly integral component of viable and efficient computer and data communications, yet the often heavy mathematics that form the basis of coding can prevent a serious and practical understanding of this important area. "Coding for Data and Computer Communications" eschews the complex mathematics and clearly describes the core concepts, principles, and methods of channel codes ( for error correction), source codes (for compressing data), and secure codes (for cryptography, data hiding, and privacy).
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Springer | ISBN: 0387282882 | 2005-11-17 | PDF (OCR) | 277 pages | 16.46 Mb
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems.
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