However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniquesTopics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http: //szeliski.org/Book/ Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

    Each week, readers learn a particular feature of strong articles and work on revising theirs accordingly. At the end of twelve weeks, they send their article to a journal. This invaluable resource is the only guide that focuses specifically on publishing humanities and social science journal articles . Key Features Has a proven record of helping graduate students and professors get published: This workbook, developed over a decade of teaching scholarly writers in a range of disciplines at UCLA and around the world, has already helped hundreds to publish their articles in peer-reviewed journals. Demystifies the academic publishing process: This workbook is based on actual research about faculty productivity and peer review, students′ writing triumphs and failures, as well as the author′s experiences as a journal editor and award-winning author. Proceeds step by manageable step: Within the context of clear deadlines, the workbook provides the instruction, exercises, and structure needed to revise a classroom essay, conference paper, dissertation chapter, master′s thesis, or unfinished draft into a journal article and send it to a suitable journal. Targets the biggest writing challenges: This workbook focuses squarely on the most difficult tasks facing scholarly writers, such as getting motivated, making an argument, and creating a logical whole.Writing Your Journal Article in Twelve Weeks can be used individually or in groups, and is particularly appropriate for graduate student professional development courses, junior faculty orientation workshops, post-doc groups, and journal article writing courses.Wendy Laura Belcher is assistant professor of African literature at Princeton University in the Department of Comparative Literature and Center for African American Studies. She has taught journal article writing workshops in North America, Europe, and Africa. Praise for Wendy Belcher and Writing Your Journal Article in Twelve WeeksA comprehensive, well-written and beautifully organized book on publishing articles in the humanities and social sciences that will help its readers write forward with a first-rate guide as good company.--Joan Bolker, author of Writing Your Dissertation in Fifteen Minutes a DayHumorous, direct, authentic ... a seamless weave of experience, anecdote, and research. --Kathleen McHugh, professor and director of the UCLA Center for the Study of WomenA useful text that will be an excellent resource for any writer attempting to publish their work.--Larry Chandler, Graduate StudentWendy Belcher′s book is revolutionizing the way younger scholars perceive academic publishing and radically transforming their level of access to it (and consequently to the profession). It is by far the most readable or practical guide to academic writing on the market. --Beth Goodhue, UCLAWendy′s guidance has been a tremendous help to me, and the book is great for grad students, junior faculty, or anyone who wants to learn how to write and publish more effectively.-Jake Dorman, The University of KansasYour book struck such a nerve because there is a long chain of assumptions in academia that scholars should just know how to do certain things. The relief among faculty is palpable when I explain in groups that few of us -- even those who have been published in journals -- were ever taught properly. And although it helps everyone who cracks it, your book is especially a godsend for faculty from other cultures. -Carole Sargent, Georgetown University Thanks for your wonderful book! -Georgina Green, Graduate StudentAbsolutely LOVE the book! -Karra Bikson, Graduate Student

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Terms and phrases such as "the global village" and "the medium is the message" are now part of the lexicon, and McLuhan's theories continue to challenge our sensibilities and our assumptions about how and what we communicate.There has been a notable resurgence of interest in McLuhan's work in the last few years, fueled by the recent and continuing conjunctions between the cable companies and the regional phone companies, the appearance of magazines such as WiRed, and the development of new media models and information ecologies, many of which were spawned from MIT's Media Lab. In effect, media now begs to be redefined. In a new introduction to this edition of Understanding Media, Harper's editor Lewis Lapham reevaluates McLuhan's work in the light of the technological as well as the political and social changes that have occurred in the last part of this century.

    For each question, there is a concise explanation of how to apply it in the evaluation of research reports.Numerous examples from journals in the social and behavioral sciences illustrate the application of the evaluation questions. Students see actual examples of strong and weak features of published reports.Commonsense models for evaluation combined with a lack of jargon make it possible for students to start evaluating research articles the first week of class.The structure of this book enables students to work with confidence while evaluating articles for homework.Avoids oversimplification in the evaluation process by describing the nuances that may make an article publishable even though it has serious methodological flaws. Students learn when and why certain types of flaws may be tolerated. They learn why evaluation should not be performed mechanically.This book received very high student evaluations when field-tested with students just beginning their study of research methods.Contains more than 60 new examples from recently published research. In addition, minor changes have been made throughout for consistency with the latest edition of the Publication Manual of the American Psychological Association."

    . . everything you need to master the most widely used management science techniques using Microsoft Excel is right here Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    It offers comprehensive coverage of core concepts, foundational scholars, and emerging theories. The textbook presents section reviews with rich questions, discussions that help students apply their knowledge, and features that draw learners into the discipline in meaningful ways. The second edition has been updated significantly to reflect the latest research and current, relevant examples.

    Available here:readmeaway.com/download?i=1593279523The Linux Command Line, 2nd Edition: A Complete Introduction PDF by William ShottsRead The Linux Command Line, 2nd Edition: A Complete Introduction PDF from No Starch Press,William ShottsDownload William Shotts’s PDF E-book The Linux Command Line, 2nd Edition: A Complete Introduction

    "Real time" means news breaks over minutes, not days. It means companies develop (or refine) products or services instantly, based on feedback from customers or events in the marketplace. And it's when businesses see an opportunity and are the first to act on it. In this eye-opening follow-up to The New Rules of Marketing and PR, a BusinessWeek bestseller, David Meerman Scott reveals the proven, practical steps to take your business into the real-time era.Find out how to act and react flexibly as events occur, position your brand in the always-on world of the Web, and avoid embarrassing mistakes and missteps. Real-Time Marketing and PR will also enable you to:Develop a business culture that encourages speed over sloth Read buying signals as people interact with your online information Crowdsource product development, naming, and even marketing materials such as online videos Engage reporters to shape stories as they are being written Command premium prices by delivering products at speed Deploy technology to listen in on millions of online discussions and instantly engage with customers and buyers Scale and media buying power are no longer a decisive advantage. What counts today is speed and agility. While your competitors scramble to adjust, you can seize the initiative, open new channels, and grow your brand. Master Real-Time Marketing and PR today and become the first to act, the first to respond, and the first to win!

    Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." --Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching"This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." --Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education"Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." --Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching"As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." --From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

    Whether they bind computers, economies, or terrorist organizations, networks are everywhere in the real world, yet only recently have scientists attempted to explain their mysterious workings.From epidemics of disease to outbreaks of market madness, from people searching for information to firms surviving crisis and change, from the structure of personal relationships to the technological and social choices of entire societies, Watts weaves together a network of discoveries across an array of disciplines to tell the story of an explosive new field of knowledge, the people who are building it, and his own peculiar path in forging this new science.

    In this collection of essays, nationally known science writers Deborah Blum, Mary Knudson, and Robin Marantz Henig assemble the best science writers working today to explain what they do and how to do it well. Field Guide combines detailed and practical how-to advice with thoughtful discussions of the challenges of science journalism in the 21st century. It doesn't shy away from addressing such controversial matters as cloning, stem cell research, eugenics, medical overtreatment, and questions of scientific honesty. Offering a comprehensive overview of the field of science writing, this book discusses a broad range of media and sources, from newspapers to broadcast journalism and from corporations to government agencies. It also provides a detailed analysis of some of the hottest fields in science writing - ranging from mental health to human genetics - and covers a diverse array of writing styles, from "gee-whiz" to investigative. With more than 45 esteemed contributors - people who work for such leading news outlets as Scientific American, Popular Science, Discover, Smithsonian, The New York Times, and The Wall Street Journal - this book is an invaluable resource for current and aspiring science writers, students and instructors in science writing and journalism, and scientists who are interested in science communication.

    It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.

    This new edition includes the latest research and case studies, and offers inspiring new and relevant stories of real people achieving extraordinary results.