Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions.
David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists.
In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis -- in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level.
Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.
Описание: A lively and revealing biography of Andy Griffith and Don Knotts, this "humorous, informative, and poignant book" celebrates the powerful real-life friendship behind one of America's most iconic television programs and "shows how the magic was created" (Library Journal). Andy Griffith and Don Knotts first met on Broadway in the 1950s. When Andy moved to Hollywood to film a TV pilot for a comedy about a small-town sheriff, Don called to ask if Andy's sheriff could use a deputy. The friendship and comedy partnership between Sheriff Andy Taylor and Deputy Barney Fife ignited The Andy Griffith Show, elevating the folksy television sitcom into a timeless study of human friendship. Together, they created a program with a uniquely small-town dynamic that captured the hearts of Americans across the country who watched these two men rocking on the front porch, meditating about the pleasure of a bottle of pop. But behind this sleepy charm, de Vise's exclusive reporting"captures the complexity of both men and the intimacy of their friendship with extreme detail and sensitivity" (Publishers Weekly), from unspoken rivalries, passionate affairs, unrequited loves, struggles with the temptations of fame, and friendships lost and regained. Although Andy and Don ended their Mayberry partnership in 1965, they remained best friends for the next half-century. Written by Don Knotts's brother-in-law, Andy and Don is "a rewarding dual biography that is also a lively look inside the entertainment industry in the latter half of the twentieth century" (News & Observer). Entertaining and provocative, it "captures a golden moment in modern Americana. You'll not only return again to Mayberry, you'll feel as though you've never left" (Tom Shales, Pulitzer Prize-winning television critic).
Автор: Marshall Danielle C. Название: The College Visit Journal: Campus Visits Demystified ISBN: 0578518058 ISBN-13(EAN): 9780578518053 Издательство: Неизвестно Рейтинг: Цена: 2206.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The College Visit Journal: Campus Visits Demystified is everything you need to get the most out of your college campus visit. In this journal, you will take notes, rank emotion, environment, academics, and student life, and keep track of your thoughts and takeaways from each college campus visit. The college campus tour and information session are full of great information, but keeping everything organized from each campus can be a challenge.
Are you using your collected information to make an intentional decision about which campus is best for you?
Features:
Create-your-own table of contents
Space for your academic profile (handy when meeting with college advisors or admission counselors)
Reference section with key terms, plus reference websites for financial aid and college prep support
Writing samples to use when emailing college coaches, professors, and admission counselors
Eight sections for eights visits to note what you're seeing, hearing, feeling and whom you meet on campus.
You need this book if you are:
The parent of a high school sophomore, junior or senior who is interested in going to college
A student interested in finding the best campus fit for four years of college
A high school counselor supporting students and families throughout the college admission process
A person who believes in college readiness resources.
The College Visit Journal: Campus Visits Demystified is a thought-provoking book that connects with people from all walks of life. My inclusive approach encourages students to use all five senses on their campus visit, as well as, leverage their soft skills to determine which college is the best fit.
Описание: Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning.
Описание: Developing healthy visual-motor abilities is more difficult in the complex stimulus of today`s world than ever before. Designed by an OT and an optometrist, here is a book that has practical, playful activities designed to improve visual skills in both adults and children.
Описание: This book will give you insights into the technologies that drive the autonomous car revolution. To get started, all you need is basic knowledge of computer vision and Python.
Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.
Описание: This text examines how attempts by Congress to reassert its will in the wake of Watergate ultimately resulted in further surrender of legislative power to the presidency.
Автор: Gopalan Raghuraman, Li Ruonan, Patel Vishal M. Название: Domain Adaptation for Visual Recognition ISBN: 1680830309 ISBN-13(EAN): 9781680830309 Издательство: Неизвестно Цена: 10346.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive overview of domain adaptation solutions for visual recognition problems. It discusses three adaptation scenarios namely, (i) unsupervised adaptation; (ii) semi-supervised adaptation and (iii) multi-domain heterogeneous adaptation.
Описание: This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
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