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“…You'll also find new coverage of bit shifting, code hygiene, and offensive forensics with the Volatility Framework as well as expanded explanations of the Python libraries ctypes, struct, lxml, and BeautifulSoup, and offensive hacking strategies like splitting bytes, leveraging computer vision libraries, and scraping websites. …”

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“…Each chapter introduces a basic concept in cognitive research that has implications for classroom teaching, explains the rationale for offering it within a specific time period in a typical class, and then provides concrete examples of how this intervention has been used or could be used by faculty in a variety of disciplines"--…”

“…Flanking measures are desirable to counter natural gas hindering renewables and low prices stymieing innovation. This Working Paper relates to the 2014 OECD Economic Survey of United States (www.oecd.org/eco/surveys/United States)…”

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“…Author Nicholas Tollervey takes you on a journey from first steps to advanced projects. You’ll explore the types of devices that run MicroPython, and examine how the language uses and interacts with hardware to process input, connect to the outside world, communicate wirelessly, make sounds and music, and drive robotics projects. …”

Tabla de Contenidos: “…Front Cover -- Human Recognition in Unconstrained Environments -- Copyright -- Contents -- Contributors -- Editor Biographies -- Foreword -- 1 Unconstrained Data Acquisition Frameworks and Protocols -- 1.1 Introduction -- 1.2 Unconstrained Biometric Data Acquisition Modalities -- 1.3 Typical Challenges -- 1.3.1 Optical Constraints -- 1.3.2 Non-comprehensive View of the Scene -- 1.3.3 Out-of-Focus -- 1.3.4 Calibration of Multi-camera Systems -- 1.4 Unconstrained Biometric Data Acquisition Systems -- 1.4.1 Low Resolutions Systems -- 1.4.2 PTZ-Based Systems -- 1.4.3 Face -- 1.5 Conclusions -- References -- 2 Face Recognition Using an Outdoor Camera Network -- 2.1 Introduction -- 2.2 Taxonomy of Camera Networks -- 2.2.1 Static Camera Networks -- 2.2.2 Active Camera Networks -- 2.2.3 Characteristics of Camera Networks -- 2.3 Face Association in Camera Networks -- 2.3.1 Face-to-Face Association -- 2.3.2 Face-to-Person Association -- 2.4 Face Recognition in Outdoor Environment -- 2.4.1 Robust Descriptors for Face Recognition -- 2.4.2 Video-Based Face Recognition -- 2.4.3 Multi-view and 3D Face Recognition -- 2.4.4 Face Recognition with Context Information -- 2.4.5 Incremental Learning of Face Recognition -- 2.5 Outdoor Camera Systems -- 2.5.1 Static Camera Approach -- 2.5.2 Single PTZ Camera Approach -- 2.5.3 Master and Slave Camera Approach -- 2.5.4 Distributed Active Camera Networks -- 2.6 Remaining Challenges and Emerging Techniques -- 2.7 Conclusions -- References -- 3 Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometrics "in-the-Wild -- 3.1 Introduction -- 3.2 3D Capture of Face and Ear: CURRENT Methods and Suitable Options -- 3.2.1 Laser Scanners -- 3.2.2 Structured Light Scanners -- 3.2.3 Stereophotogrammetry -- 3.3 Mobile Devices for Ubiquitous Face-Ear Recognition…”

Tabla de Contenidos: “…-- Prepare your work surface -- Using specially-marked keys -- Lighting and magnification -- More tips for spotting the mark -- Some advice concerning filing -- How much to file -- File types and shapes -- Filing technique -- Maintain a clean work area -- Take care to avoid "canyoning" -- Impressioning handles -- If you run into trouble -- Open! …”

“…Democratizing data with this approach requires removing barriers typical of siloed data, teams, and systems. In this report, Apache Hive creators Ashish Thusoo and Joydeep Sen Sarma examine the characteristics of a data-driven organization that supports a self-service model. …”

“…This report reveals: The industries furthest along in adopting big data analytics and visualization technologies The most commonly analyzed sources of big data The most commonly used technologies for analyzing streaming data Which analytics skills are in most demand The most valued characteristic of big data across all industries The types of users big data analytics and visualization projects typically target If you’re a technology decision maker, a product manager looking to embed analytics, a business user relying on analytics, or a developer pursuing the most marketable skills, this report provides valuable details on today’s data analytics trends…”

“…In addition, the text presents the multidisciplinary aspect of the concept, and contains a typical example of how knowledge is acquired from nature, and how in turn this information contributes to biological sciences, with an accent on biomedical applications. …”

“…Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer’s comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. …”

“…Perfect for students who need to review or reference critical concepts, Algebra I Essentials For Dummies provides content focused on key topics only, with discrete explanations of critical concepts taught in a typical Algebra I course, from functions and FOILs to quadratic and linear equations. …”