The Avid Handbook caters to video editors bordering on intermediate who are ready to unleash the full power of the Avid but don't know where to start. Rather than focusing on arcane keystrokes, the book teaches production procedures, the real key for getting a job done. Time saving, shortcuts, and strategies are emphasized, and the author tackles such real-world problems as set up, keeping a facility running, minimizing crashing, and troubleshooting head on. Bayes has helped thousands to avoid downtime and maximize creative time.
Brimming with workflow efficiencies for the experienced editor, The Avid Handbook teaches you the hows and whys of operating the system in order to reach streamlined, creative end solutions. The book emphasizes time-saving techniques, shortcuts, and workflow procedures- the true keys to getting a job done. The book has also been updated to include new information on HD formats and workflows, color-correction and grading capability enhancements, MXF media standardization, and much more. Also new to this edition are an 8 page 4-color insert, adding depth to the color-correction lessons, as well as running sidebars throughout the book, calling out time-saving tips and techniques.
Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book's website.
The Avid Media Composer, Avid Xpress and Avid Symphony are the most widely used nonlinear editing systems by professionals in the film and video industries. Based on his experience teaching countless seminars around the world on the Avid Media Composer, Avid Symphony and Avid Xpress, Steve Bayes has written the most comprehensive manual for nonlinear digital editing on these Avid editing systems. This handbook is now revised throughout to reflect recent upgrades to these systems and the third edition covers Symphony 2.1, Media Composer 9.1 and Avid Xpress 3.1, as well as earlier versions. Written for the reader who already has a basic knowledge of the editing systems, this book moves beyond an introduction to the professional Avid editing systems and focuses on strategies, techniques, and troubleshooting. The Avid Handbook covers the basics of working with effects, rendering, and graphics and discusses the more abstract issues of workflow and organization of different types of editing projects. The book discusses frequently made mistakes, common technical problems,and how they can be avoided. In addition, there is an in depth explanation of Symphony color correction, 24 p and other new features and efficiencies in the latest software versions from Avid. The Avid Handbook discusses techniques for Windows NT users, including the most complete description of the offline to online workflow using Avid systems.
This edition of chainReactions looks at birthdays, and how to talk about that particularly unpleasant ritual we are induced to pretend to enjoy several times a year.
In Crying for a Vision, British-born poet, musician and performance artist Steve Scott offers a challenge to artists and a manifesto for the arts. This new edition includes an introduction and study guide, four newly-collected essays and an interview with the author. Steve Scott is the author of Like a House on Fire: Renewal of the Arts in a Post-modern Culture and The Boundaries. "Steve Scott is a rare individual who combines a deep love and understanding of Scripture with a passion for the arts." -Steve Turner, author of Jack Kerouac: Angelheaded Hipster. "Steve Scott links a number of fields of inquiry that are usually perceived as unrelated. In doing so he hopes to open wider possibilities for Christians in the arts, who may perhaps be relieved to find that, in many ways, they were right all along." -Rupert Loydell, author of The Museum of Light. Cover art by Michael Redmond
The definitive introduction to game theory This comprehensive textbook introduces readers to the principal ideas and applications of game theory, in a style that combines rigor with accessibility. Steven Tadelis begins with a concise description of rational decision making, and goes on to discuss strategic and extensive form games with complete information, Bayesian games, and extensive form games with imperfect information. He covers a host of topics, including multistage and repeated games, bargaining theory, auctions, rent-seeking games, mechanism design, signaling games, reputation building, and information transmission games. Unlike other books on game theory, this one begins with the idea of rationality and explores its implications for multiperson decision problems through concepts like dominated strategies and rationalizability. Only then does it present the subject of Nash equilibrium and its derivatives. Game Theory is the ideal textbook for advanced undergraduate and beginning graduate students. Throughout, concepts and methods are explained using real-world examples backed by precise analytic material. The book features many important applications to economics and political science, as well as numerous exercises that focus on how to formalize informal situations and then analyze them. Introduces the core ideas and applications of game theory Covers static and dynamic games, with complete and incomplete information Features a variety of examples, applications, and exercises Topics include repeated games, bargaining, auctions, signaling, reputation, and information transmission Ideal for advanced undergraduate and beginning graduate students Complete solutions available to teachers and selected solutions available to students
The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.
“McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to.” —Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.” —Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).
Using chips composed of thousands of spots, each with the capability of holding DNA molecules corresponding to a given gene, DNA microarray technology has enabled researchers to measure simultaneously gene expression across the genome. As with other large-scale genomics approaches, microarray technologies are broadly applicable across disciplines of life and biomedical sciences, but remain daunting to many researchers. This guide is designed to demystify the technology and inform more biologists about this critically important experimental technique. Cohesive overview of the technology and available platforms, followed by detailed discussion of experimental design and analysis of microarray experiments Up-to-date description of normalization methods and current methods for sample amplification and labeling Deep focus on oligonucleotide design, printing, labeling and hybridization, data acquisition, normalization, and meta-analysis Additional uses of microarray technology such as ChIP (chromatin immunoprecipitation) with hybridization to DNA arrays, microarray-based comparative genomic hybridization (CGH), and cell and tissue arrays
An accessible, thorough introduction to quantitative finance Does the complex world of quantitative finance make you quiver?You're not alone! It's a tough subject for even high-levelfinancial gurus to grasp, but Quantitative Finance ForDummies offers plain-English guidance on making sense ofapplying mathematics to investing decisions. With this completeguide, you'll gain a solid understanding of futures, options andrisk, and get up-to-speed on the most popular equations, methods,formulas and models (such as the Black-Scholes model) that areapplied in quantitative finance. Also known as mathematical finance, quantitative finance is thefield of mathematics applied to financial markets. It's a highlytechnical discipline—but almost all investment companies andhedge funds use quantitative methods. This fun and friendly guidebreaks the subject of quantitative finance down to easilydigestible parts, making it approachable for personal investors andfinance students alike. With the help of Quantitative FinanceFor Dummies, you'll learn the mathematical skills necessary forsuccess with quantitative finance, the most up-to-date portfolioand risk management applications and everything you need to knowabout basic derivatives pricing. Covers the core models, formulas and methods used inquantitative finance Includes examples and brief exercises to help augment yourunderstanding of QF Provides an easy-to-follow introduction to the complex world ofquantitative finance Explains how QF methods are used to define the current marketvalue of a derivative security Whether you're an aspiring quant or a top-tier personalinvestor, Quantitative Finance For Dummies is your go-toguide for coming to grips with QF/risk management.
This little book is a brief and a "direct to the point" guide to learning statistics. Wherever possible, many difficult concepts have been explained in the simplest way without loss of content. The idea is to take a full semester of undergraduate statistics topics and remove all of the extra "fluff". Many "real world" application problems such as gambling, biology, business and psychology (among other topics) have been included and worked out in full detail. A very minimal knowledge of algebra would be helpful but not required.
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006. The papers are organized in topical sections on multimodal processing, image and video processing, HCI and applications, discourse and dialogue, speech and audio processing, and NIST meeting recognition evaluation.
Recent advances in next-generation sequencing have enabled high-throughput determination of biological sequences in microbial communities, also known as microbiomes. The large volume of data now presents the challenge of how to extract knowledge—recognize patterns, find similarities, and find relationships—from complex mixtures of nucleic acid sequences currently being examined. In this chapter we review basic concepts as well as state-of-the-art techniques to analyze hundreds of samples which each contain millions of DNA and RNA sequences. We describe the general character of sequence data and describe some of the processing steps that prepare raw sequence data for inference. We then describe the process of extracting features from the data, assigning taxonomic and gene labels to the sequences. Then we review methods for cross-sample comparisons: (1) using similarity measures and ordination techniques to visualize and measure differences between samples and (2) feature selection and classification to select the most relevant features for discriminating between samples. Finally, in conclusion, we outline some open research problems and challenges left for future research.
This volume details forty 'big' football matches that I have been privileged to attend during a forty-year period of watching Blackpool, Liverpool, Glasgow Rangers, Tranmere Rovers and Stafford Rangers, covering all aspects of the game from non-league success to European Cup glory.
An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.
Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields of statistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described. For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.
The humble ballad, defined in 1728 as "a song commonly sung up and down the streets," was widely used in elite literature in the eighteenth century and beyond. Authors ranging from John Gay to William Blake to Felicia Hemans incorporated the seemingly incongruous genre of the ballad into their work. Ballads were central to the Scottish Enlightenment's theorization of culture and nationality, to Shakespeare's canonization in the eighteenth century, and to the New Criticism's most influential work, Understanding Poetry. Just how and why did the ballad appeal to so many authors from the Restoration period to the end of the Romantic era and into the twentieth century? Exploring the widespread breach of the wall that separated "high" and "low," Steve Newman challenges our current understanding of lyric poetry. He shows how the lesser lyric of the ballad changed lyric poetry as a whole and, in so doing, helped to transform literature from polite writing in general into the body of imaginative writing that became known as the English literary canon. For Newman, the ballad's early lack of prestige actually increased its value for elite authors after 1660. Easily circulated and understood, ballads moved literature away from the exclusive domain of the courtly, while keeping it rooted in English history and culture. Indeed, elite authors felt freer to rewrite and reshape the common speech of the ballad. Newman also shows how the ballad allowed authors to access the "common" speech of the public sphere, while avoiding what they perceived as the unpalatable qualities of that same public's increasingly avaricious commercial society.
Techniques in Speech Acoustics provides an introduction to the acoustic analysis and characteristics of speech sounds. The first part of the book covers aspects of the source-filter decomposition of speech, spectrographic analysis, the acoustic theory of speech production and acoustic phonetic cues. The second part is based on computational techniques for analysing the acoustic speech signal including digital time and frequency analyses, formant synthesis, and the linear predictive coding of speech. There is also an introductory chapter on the classification of acoustic speech signals which is relevant to aspects of automatic speech and talker recognition. The book intended for use as teaching materials on undergraduate and postgraduate speech acoustics and experimental phonetics courses; also aimed at researchers from phonetics, linguistics, computer science, psychology and engineering who wish to gain an understanding of the basis of speech acoustics and its application to fields such as speech synthesis and automatic speech recognition.
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