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Protecting the Presidential Candidates
Protecting the Presidential Candidates is the first book of its kind to examine how presidents and presidential candidates were protected during the presidential election cycles – from JFK to Biden. It is also the first book of its kind to tell the story of the role of state troopers and private bodyguards in protecting presidential candidates. Protection for candidates changed and evolved from the free-wheeling style of the 1950s and early 1960s, which afforded presidential candidates little or no protection, to the growth of bodyguard personnel, increased intelligence facilities and state of the art technology employed today to keep the candidates safe. Presidential candidates relish con...
What Older Americans Think
As the much publicized "graying of America" progresses, political groups that lobby for the elderly have achieved enormous power and organizational success, with no sign of decline in the foreseeable future. What Older Americans Think provides a fresh look at these groups. Are older people united in support of increasing old-age benefits--or perhaps even obsessed with their own financial self-interest, as is sometimes alleged? Do younger people tend to oppose old-age benefits? Why do aging-based political organizations attract so many members? How do Washington policymakers see the "gray lobby"? Focusing on the last decade, Christine Day offers new answers to these and other questions. Drawi...
Morning Glories
George Washington Plunkitt once dismissed municipal reformers as "morning glories" who looked good early on but soon faded. Political scientist Amy Bridges shows how that description fit the Northeast when Tammany Hall ruled New York City, but not the Southwest. Here Bridges traces reform politics and government in large Southwestern cities since 1901.
Computer Animation Complete
A compilation of key chapters from the top MK computer animation books available today - in the areas of motion capture, facial features, solid spaces, fluids, gases, biology, point-based graphics, and Maya. The chapters provide CG Animators with an excellent sampling of essential techniques that every 3D artist needs to create stunning and versatile images. Animators will be able to master myriad modeling, rendering, and texturing procedures with advice from MK's best and brightest authors. Divided into five parts (Introduction to Computer Animation and Technical Background, Motion Capture Techniques, Animating Substances, Alternate Methods, and Animating with MEL for MAYA), each one focusi...
Computer Vision in Sports
The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production.
Bitter Fruit
William Grimshaw offers an insider's chronicle of the tangled relationship between the black community and the Chicago Democratic machine from its Great Depression origins to 1991. What emerges is a myth-busting account not of a monolithic organization but of several distinct party regimes, each with a unique relationship to black voters and leaders.
Endgames
Explores the different military responses to popular uprisings during the 2011 Arab Spring in Egypt, Syria, Tunisia, and Libya.
Deep Learning for Fluid Simulation and Animation
This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost. This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of more traditional areas of mathematical modeling – about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed. The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.
