Below is a list of Skein files included on the NIST submission CD, along with a very brief descr iption of each file. In both the reference and optimized directories, all C files should be compiled to generate a SHA3 NIST API "library" for Skein. ++
Illustrates a range of statistical computations in R using the Rcpp package Provides a general introduction to extending R with C++ code Features an appendix for R users new to the C++ programming language Rcpp packages are presented in the context
Author Edsger W. Dijkstra introduces A Discipline of Programming with the statement, "My original idea was to publish a number of beautiful algorithms in such a way that the reader could appreciate their beauty." In this classic work, Dijkstra achie
A (k,n)-threshold visual cryptography scheme is proposed to encode a secret image into n shadow images, where any k or more of them can visually recover the secret image, but any k−1 or fewer of them gain no information about it. The decoding proces
Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an int
Preface xxi Chapter 1 Practical Aspects of a Vision System — Image Display, Input/Output, and Library Calls 1 OpenCV 2 The Basic OpenCV Code 2 The IplImage Data Structure 3 Reading and Writing Images 6 Image Display 7 An Example 7 Image Capture 10 I
R is a versatile cross-platform environment with the power of a programming language and the flexibility of a scr ipting language. It is extremely powerful in manipulating and visualizing complex databases, performing statistical computations and pr
［Roughly speaking a stochastic process is a generalization of a probability distribution (which describes a finite-dimensional random variable) to functions. By focussing on processes which are Gaussian, it turns out that the computations required f
Written for readers with at least some Perl programming experience, Mastering Algorithms in Perl delivers a solid library of algorithms written in Perl for business and mathematical computing. From data structures to cryptography and more advanced m
Apache Hadoop is ideal for organizations with a growing need to store and process massive application datasets. Hadoop: The Definitive Guide is a comprehensive resource for using Hadoop to build reliable, scalable, distributed systems. Programmers w
In recent years, the volume of data being collected, stored, and analyzed has exploded, in particular in relation to the activity on the Web and mobile devices, as well as data from the physical world collected via sensor networks. While previously
Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data ana
This study presents a fast video transcoding architecture that overcomes the complexity of different coding structures between H.264/AVC and SVC. The proposed algorithms simplify the mode decision process in SVC owing to its heavy computations. Two
Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data ana
Apache Mahout: Beyond MapReduce. Distributed algorithm design This book is about designing mathematical and Machine Learning algorithms using the Apache Mahout "Samsara" platform. The material takes on best programming practices as well as conceptua
Key Features You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant Make use of Amazon Web Services along with Python to establish a powerful remote computation system Train Python to handle
