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Design and implement your own computer vision applications with the Raspberry Pi
About This Book
Explore the vast opportunities of computer vision with the Raspberry Pi and Python
Design and develop webcam and Raspberry Pi based applications
The book features ample screenshots that will offer a play-by-play account on how to implement computer vision fundamentals and applications
Who This Book Is For
This book is intended for novices, as well as seasoned Raspberry Pi and Python enthusiasts, who would like to explore the area of computer vision.
Randomization is an important tool in the design of algorithms, and the ability of randomization to provide enhanced power is a major research topic in complexity theory. Noam Nisan continues the investigation into the power of randomization and the relationships between randomized and deterministic complexity classes by pursuing the idea of emulating randomness, or pseudorandom generation.Pseudorandom generators reduce the number of random bits required by randomized algorithms, enable the construction of certain cryptographic protocols, and shed light on the difficulty of simulating randomized algorithms by deterministic ones.
In the preface to Volume One I promised a second volume which would contain the theory of linear mappings and special classes of spaces im portant in analysis. It took me nearly twenty years to fulfill this promise, at least to some extent. To the six chapters of Volume One I added two new chapters, one on linear mappings and duality (Chapter Seven), the second on spaces of linear mappings (Chapter Eight). A glance at the Contents and the short introductions to the two new chapters will give a fair impression of the material included in this volume.
High-performance message-based supercomputers have only recently emerged from the research laboratory. The commercial manufacturing of such products as the Intel iPSC, the Ametek s/14, the NCUBE/ten, and the FPS T Series – all based on multicomputer network technology – has sparked lively interest in high-performance computation, and particularly in the message-passing paradigm for parallel computation.This book makes readily available information on many aspects of the design and use of multicomputer networks, including machine organization, system software, and application programs.
Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information.S
Productively combines elements of programming languages, environments, logic, and inductive inference to produce effective debugging aids. Its use of the PROLOG language provides an efficient implementation of the debugging algorithms.
THIRTY FIVE YEARS OF AUTOMATING MATHEMATICS: DEDICATED TO 35 YEARS OF DE BRUIJN’S AUTOMATH N. G. de Bruijn was a well established mathematician before deciding in 1967 at the age of 49 to work on a new direction related to Automating Mathematics. By then, his contributions in mathematics were numerous and extremely influential. His book on advanced asymptotic methods, North Holland 1958, was a classic and was subsequently turned into a book in the well known Dover book series. His work on combinatorics yielded influential notions and theorems of which we mention the de Bruijn-sequences of 1946 and the de Bruijn-Erdos theorem of 1948.
In recent years, model checking has become an essential technique for the formal verification of systems. With a clarity of presentation and its many illuminating examples, this book makes this technical material easy to grasp. It is perfectly suited for an advanced undergraduate or graduate class in formal verification and will serve as a valuable resource to practitioners of formal methods.
If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exciting fields in data science.Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biologyAbout This BookDiscover and learn the most important Python libraries and applications to do a complex bioinformatics analysisFocuses on the most modern tools to do research with next generation sequencing, genomics, population genetics, phylogenomics, and proteomicsUses real-world examples and teaches you to implement high-impact research methodsWho This Book Is ForIf you have intermediate-level knowledge of Python and are well aware of the main research and vocabulary in your bioinformatics topic of interest, this book will help you develop your knowledge further.W
If you want to learn how to use R’s machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.Master machine learning techniques with R to deliver insights for complex projectsAbout This BookGet to grips with the application of Machine Learning methods using an extensive set of R packagesUnderstand the benefits and potential pitfalls of using machine learning methodsImplement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML systemWhat You Will LearnGain deep insights to learn the applications of machine learning tools to the industryManipulate data in R efficiently to prepare it for analysisMaster the skill of recognizing techniques for effective visualization of dataUnderstand why and how to create test and training data sets for analysisFamiliarize yourself with fundamental learning methods such as linear and logistic regressionComprehend advanced learning methods such as support vector machinesRealize why and how to apply unsupervised learning methodsIn DetailMachine learning is a field of Artificial Intelligence to build systems that learn from data.
Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain events or sets of related events. Finding patterns in sequences is of utmost importance in many areas of science, engineering, and business scenarios.
This book shows you how to use PowerShell to quickly pinpoint, diagnose, and solve problems with your Windows Server environment, reducing the need for external tools, and ensuring you stay up-to-date with PowerShell as it quickly becomes one of the most useful tools in an administrator’s toolkit.Authors Derek Schauland and Donald Jacobs take you through a range of examples, showing you how to gather information from different computer sources. Whether you are logged into the server locally or just wanting to check the status of a server from your local computer, the right PowerShell cmdlets can give you a lot of information quickly, and allow you to troubleshoot your servers from the command line with little interaction with the server’s desktop.I
Use a no-code approach to create powerful business solutions using Dynamics CRM 2015
If you are new to Dynamics CRM or a seasoned user looking to enhance your knowledge of the platform, then this book is for you. It is also for skilled developers who are looking to move to the Microsoft stack to build business solution software.
Dynamics CRM is Microsoft’s answer to customer relationship management. The platform’s flexibility allows system customizers to enhance its functionality to map any kind of business and scale to any size.
Through this practical guide, you will develop a vital and holistic understanding of the key features of Dynamics CRM. You will work with entities within the existing modules, learn how to customize and extend entities, and explore how to create logical relationships between them. You will also look at business rules and business process flows and learn how to use these features to enforce and visually enhance user experience. Furthermore, you will customize business entities without using code and cover the new features in Dynamics CRM. By the end of the book, you will have acquired new marketable skills in developing software for businesses running Dynamics CRM.
Harness the power of the PIC microcontroller unit with practical, common-sense instruction from an engineering expert. Through eight real-world projects, clear illustrations, and detailed schematics, Making PIC Microcontroller Instruments and Controllers shows you, step-by-step, how to design and build versatile PIC-based devices. Configure all necessary hardware and software, read input voltages, work with control pulses, interface with peripherals, and debug your results. You’ll also get valuable appendices covering technical terms, abbreviations, and a list of sample programs available online.
Authors: Neri, FerranteCovers all aspects of linear algebra from the perspective of computational science and engineeringProvides both a technical approach and an informal interpretation of mathematicsIncludes examples with definitions and theoremsPresents a chapter where the study of an electrical network is shown as an algebraic exerciseThis book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor.
If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in theory and practice—so you can choose the best solution among all the available compression tools.With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals.
Costa-jussà, M.R., Rapp, R., Lambert, P., Eberle, K., Banchs, R.E., Babych, B. (Eds.)First book dedicated to the field of hybrid machine translationGives an overview about the developments of tools that automate translation processesContains latest relevant research conducted by linguists and practitioners from different multidisciplinary areas working in hybrid MTThis volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas.
The papers accepted for presentation thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The extended abstracts were carefully reviewed and selected for inclusion in this two-volume set. This volume contains posters’ extended abstracts addressing the following major topics: social media and social networks; learning and education;
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools.
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
Authors: Anastassiou, George A., Argyros, Ioannis K.Presents recent original research of the authors in Numerical Analysis and Fractional CalculusThe chapters are self-contained and can be read independently including an extensive list of references per chapterNewton-like and other similar numerical methods with applications to solving multivariate equations are developed, involvingCaputo type fractional mixed partial derivatives and multivariate fractional Riemann-Liouville integral operatorsIn this short monograph Newton-like and other similar numerical methods with applications to solving multivariate equations are developed, which involve Caputo type fractional mixed partial derivatives and multivariate fractional Riemann-Liouville integral operators.
Authors: Tveito, Aslak, Lines, Glenn T.Offers an accessible introduction to an important theory in a field of growing relevanceIncludes complete details of models and methods, enabling the reader to implement and study the models under considerationPursues a systematic approach to studying stochastic release mechanisms where the gating is governed by a Markov modelFlow of ions through voltage gated channels can be represented theoretically using stochastic differential equations where the gating mechanism is represented by a Markov model.
A step-by-step recipe based approach to infrastructure automation and configuration. The topics are explained sequentially as cookbook recipes consisting of practical tasks followed by hands-on configuration of the same with the configuration files and command line outputs of the module executions.
This book constitutes the refereed proceedings of the 8th International Frontiers of Algorithmics Workshop, FAW 2013, held in Zhangjiajie, China, in June 2014. The 30 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 65 submissions. They provide a focused forum on current trends of research on algorithms, discrete structures, operations research, combinatorial optimization and their applications.
Showing 1–24 of 316 results