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Authors: Gareth A. Jones (2000) - Cuốn sách này là một tài liệu cơ bản cho lý thuyết thông tin và mã hóa. Phần đầu tiên tập trung vào lý thuyết thông tin, bao gồm mã giải mã duy nhất và tức thời, mã hóa Huffman, entropy, các kênh thông tin, và định lý cơ bản của Shannon. Trong phần thứ hai, đại số tuyến tính được sử dụng để xây dựng các ví dụ về các mã như mã Hamming, Hadamard, Golay và Reed-Muller. Có bằng chứng, ví dụ làm việc và bài tập.
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Authors: Faloutsos, Christos (1996) - -
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Authors: Ethem Alpaydın (2004) - The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts.
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Authors: John G. van Bosse (2007) - The Second Edition of Signaling in Telecommunication Networks has been thoroughly updated, offering new chapters and sections that cover the most recent developments in signaling systems and procedures. This acclaimed book covers subscriber and network signaling in both fixed and mobile networks. Coverage begins with an introduction to circuit-switched telephone networks, including an examination of trunks, exchanges, access systems, transmission systems, and other basic components. Next, the authors introduce signaling concepts, beginning with older Channel Associated Signaling (CAS) systems and progressing to today's Common Channel Signaling (CCS) systems. The book then examines packet networks and their use in transmitting voice (VoIP), TCP/IP protocols, VoIP signaling protocols,...
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Authors: Anil K. Jain (1989) - Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding
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Authors: Man Young Rhee (2003) - -
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Authors: Kaklauskas, Arturas (2015) - This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people's needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master's degree students in various areas and those who are interested in the lat...
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Authors: Jeff Johnson (2014) - Early UI practitioners were trained in cognitive psychology, and developed UI design rules based on it. But as the field has evolved since the first edition of this book, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In this new edition, you'll find new chapters on human choice and decision making, hand-eye coordination and attention, as well as new examples, figures, and explanations throughout.
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Authors: Arthur Griffith (2007) - SPSS (Statistical Package for the Social Sciences) is a data management and analysis software that allows users to generate solid, decision-making results by performing statistical analysis This book provides just the information needed: installing the software, entering data, setting up calculations, and analyzing data Covers computing cross tabulation, frequencies, descriptive ratios, means, bivariate and partial correlations, linear regression, and much more Explains how to output information into striking charts and graphs For ambitious users, also covers how to program SPSS to take their statistical analysis to the next level
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Authors: Alex X. Liu (2010) - This unique book represents the first rigorous and comprehensive study of firewall policy design and analysis. Firewalls are the most critical and widely deployed intrusion prevention systems. Designing new firewall policies and analyzing existing firewall policies have been difficult and error-prone. This book presents scientifically sound and practically useful methods for designing and analyzing firewall policies.
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