Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book Load, store, edit, and visualize data using OpenCV and Python Grasp the fundamental concepts of classification, regression, and clustering Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide Evaluate, compare, and choose the right algorithm for any task Who This Book Is For This book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks. What You Will Learn Explore and make effective use of OpenCV's machine learning module Learn deep learning for computer vision with Python Master linear regression and regularization techniques Classify objects such as flower species, handwritten digits, and pedestrians Explore the effective use of support vector machines, boosted decision trees, and random forests Get acquainted with neural networks and Deep Learning to address real-world problems Discover hidden structures in your data using k-means clustering Get to grips with data pre-processing and feature engineering In Detail Machine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of machine learning, with Deep Learning driving innovative systems such as self-driving cars and Google's DeepMind. OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art computer vision and machine learning algorithms. In combination with Python Anaconda, you will have access to all the open-source computing libraries you could possibly ask for. Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functionality. As the book progresses, so will your machine learning skills, until you are ready to take on today's hottest topic in the field: Deep Learning. By the end of this book, you will be ready to take on your own machine learning problems, either by building on the existing source code or developing your own algorithm from scratch! Style and approach OpenCV machine learning connects the fundamental theoretical principles behind machine learning to their practical applications in a way that focuses on asking and answering the right questions. This book walks you through the key elements of OpenCV and its powerful machine learning classes, while demonstrating how to get to grips with a range of models.
Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide.About This Book* Load, store, edit, and visualize data using OpenCV and Python* Grasp the fundamental concepts of classification, regression, and clustering* Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide* Evaluate, compare, and choose the right algorithm for any taskWho This Book Is ForThis book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks.What You Will Learn* Explore and make effective use of OpenCV's machine learning module* Learn deep learning for computer vision with Python* Master linear regression and regularization techniques* Classify objects such as flower species, handwritten digits, and pedestrians* Explore the effective use of support vector machines, boosted decision trees, and random forests* Get acquainted with neural networks and Deep Learning to address real-world problems* Discover hidden structures in your data using k-means clustering* Get to grips with data pre-processing and feature engineeringIn DetailMachine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of machine learning, with Deep Learning driving innovative systems such as self-driving cars and Google's DeepMind.OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art computer vision and machine learning algorithms. In combination with Python Anaconda, you will have access to all the open-source computing libraries you could possibly ask for.Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functionality. As the book progresses, so will your machine learning skills, until you are ready to take on today's hottest topic in the field: Deep Learning.By the end of this book, you will be ready to take on your own machine learning problems, either by building on the existing source code or developing your own algorithm from scratch!Style and approachOpenCV machine learning connects the fundamental theoretical principles behind machine learning to their practical applications in a way that focuses on asking and answering the right questions. This book walks you through the key elements of OpenCV and its powerful machine learning classes, while demonstrating how to get to grips with a range of models.
A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4 Key FeaturesGain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learnGet up to speed with Intel OpenVINO and its integration with OpenCV 4Implement high-performance machine learning models with helpful tips and best practicesBook Description OpenCV is an opensource library for building computer vision apps. The latest release, OpenCV 4, offers a plethora of features and platform improvements that are covered comprehensively in this up-to-date second edition. You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning and even learn to design different algorithms that can be used for image processing. Gradually, the book will take you through supervised and unsupervised machine learning. You will gain hands-on experience using scikit-learn in Python for a variety of machine learning applications. Later chapters will focus on different machine learning algorithms, such as a decision tree, support vector machines (SVM), and Bayesian learning, and how they can be used for object detection computer vision operations. You will then delve into deep learning and ensemble learning, and discover their real-world applications, such as handwritten digit classification and gesture recognition. Finally, you’ll get to grips with the latest Intel OpenVINO for building an image processing system. By the end of this book, you will have developed the skills you need to use machine learning for building intelligent computer vision applications with OpenCV 4. What you will learnUnderstand the core machine learning concepts for image processingExplore the theory behind machine learning and deep learning algorithm designDiscover effective techniques to train your deep learning modelsEvaluate machine learning models to improve the performance of your modelsIntegrate algorithms such as support vector machines and Bayes classifier in your computer vision applicationsUse OpenVINO with OpenCV 4 to speed up model inferenceWho this book is for This book is for Computer Vision professionals, machine learning developers, or anyone who wants to learn machine learning algorithms and implement them using OpenCV 4. If you want to build real-world Computer Vision and image processing applications powered by machine learning, then this book is for you. Working knowledge of Python programming is required to get the most out of this book.
Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key FeaturesUnderstand how to capture high-quality image data, detect and track objects, and process the actions of animals or humansImplement your learning in different areas of computer visionExplore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented realityBook Description OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learnGenerate real-time visual effects using filters and image manipulation techniques such as dodging and burningRecognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensorLearn feature extraction and feature matching to track arbitrary objects of interestReconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniquesDetect faces using a cascade classifier and identify emotions in human faces using multilayer perceptronsClassify, localize, and detect objects with deep neural networksWho this book is for This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.
Design and develop advanced computer vision projects using OpenCV with Python About This Book Program advanced computer vision applications in Python using different features of the OpenCV library Practical end-to-end project covering an important computer vision problem All projects in the book include a step-by-step guide to create computer vision applications Who This Book Is For This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Readers are expected to be familiar with OpenCV's concepts and Python libraries. Basic knowledge of Python programming is expected and assumed. What You Will Learn Generate real-time visual effects using different filters and image manipulation techniques such as dodging and burning Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Learn feature extraction and feature matching for tracking arbitrary objects of interest Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Track visually salient objects by searching for and focusing on important regions of an image Detect faces using a cascade classifier and recognize emotional expressions in human faces using multi-layer peceptrons (MLPs) Recognize street signs using a multi-class adaptation of support vector machines (SVMs) Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android. Developers using OpenCV build applications to process visual data; this can include live streaming data from a device like a camera, such as photographs or videos. OpenCV offers extensive libraries with over 500 functions This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization. By the end of this book, readers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications. Style and approach This book covers independent hands-on projects that teach important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.
Provide the best care for your patients by improving your technical and decision-making skills with this all-inclusive text. From basic sciences to detailed information on specific technologies and surgeries, this comprehensive resource has the content you need to expand your expertise in the treatment of musculoskeletal dysfunction. This 4th edition includes updated, revised, and new chapters to ensure you have the most helpful and clinically relevant information available. Coverage of surgical options and postsurgical rehabilitation for your patients with musculoskeletal disorders facilitates communication between therapists and physicians and improves the patient’s post-surgical rehabilitation. Updated content on orthopaedic surgical and rehabilitation procedures, including hyaline cartilage replacements, iliotibial band releases, ACL deficit knee, and much more puts the latest advances in the field at your fingertips. Case studies and clinical tips strengthen your problem-solving skills and maximize the safety, quality, and efficiency of care. Expert editors and contributors share their knowledge from years of practice and research in the field. Six new chapters, covering topics such as strength training, screening for referral, neuromuscular rehabilitation, reflect the latest physical therapy practice guidelines. Updated clinical photographs clearly demonstrate examination and treatment techniques. A user-friendly design highlights clinical tips and other key features important in the clinical setting. Terminology and classifications from the Guide to Physical Therapist Practice, 2nd Edition are incorporated throughout the text making descriptions easier to understand. An emphasis on treatment of the individual rather than the dysfunction reflects current practice in physical therapy. Video clips on the accompanying Evolve site demonstrate evaluation, exercise, and treatment techniques covered in the text.
Biotechnology represents a major area of research focus, and many universities are developing academic programs in the field. This guide to biomanufacturing contains carefully selected articles from Wiley's Encyclopedia of Industrial Biotechnology, Bioprocess, Bioseparation, and Cell Technology as well as new articles (80 in all,) and features the same breadth and quality of coverage and clarity of presentation found in the original. For instructors, advanced students, and those involved in regulatory compliance, this two-volume desk reference offers an accessible and comprehensive resource.
THE TIMES AND WATERSTONES BEST ART BOOK OF 2023 'Intimate and insightful . . . reads like a novel by Samuel Beckett' Paul Theroux A portrait of one of the twentieth century's greatest sculptors from one of our most eminent art historians Today the work of Alberto Giacometti is world-famous and his sculptures sell for record-breaking prices. But from his early days as an unknown outsider to the end of a dramatic international career, Giacometti lived in the same hovel of a studio in Paris. It was Paris that made him, and he in turn immortalised the city through his art. Arriving in Paris from the Swiss Alps in 1922, Giacometti was shaped not only by his relationships with remarkable artists and writers – from Picasso, Breton and Dalí to Sartre, Beauvoir and Beckett – but by the everyday life, pre-war and post-war, of Paris itself. His distinctive figures emerged from the city's unique atmosphere: the crumbling grey stone of its humbler streets and the café-terraces buzzing with radical ideas and racy gossip. In Giacometti in Paris, Michael Peppiatt, who spent thirty years documenting the Parisian art world and mixing with many of the people Giacometti knew, brilliantly charts the course of the artist's life and work. From falling in and out with the Surrealists to years of artistic anguish, from devotion to his mother to intense friendships, tragic love affairs and a fraught marriage, this is an intimate portrait of an outstanding artist in exceptional times.
Consistently lauded for its comprehensiveness and full-color color presentation, the latest edition of Rheumatology by Marc C. Hochberg, MD, MPH et al. continues the tradition of excellence of previous editions. Designed to meet the needs of the practicing clinician, it provides extensive, authoritative coverage of rheumatic disease from basic scientific principles to practical points of clinical management in a lucid, logical, user-friendly manner. Find the critical answers you need quickly and easily thanks to a consistent, highly user-friendly format covering all major disorders of the musculoskeletal system in complete, self-contained chapters. Get trusted perspectives and insights from chapters co-authored by internationally renowned leaders in the field, 25% of whom are new to this edition. Track disease progression and treat patients more effectively with the most current information, including 22 new chapters on genetic findings, imaging outcomes, and cell and biologic therapies as well as rheumatoid arthritis and SLE. Incorporate the latest findings about pathogenesis of disease; imaging outcomes for specific diseases like RA, osteoarthritis, and spondyloarthropathies; cell and biologic therapies; and other timely topics.
The current trend for constructing experimental structures is now an international phenomenon. It has been taken up worldwide by design professionals, researchers, educators and students alike. There exist, however, distinct and significant tendencies within this development that require further investigation. This issue of AD takes on this task by examining one of the most promising trajectories in this area, the rise of intensely local architectures. In his seminal essay of 1983, Kenneth Frampton redefined Critical Regionalism by calling for an intensely local approach to architectural design. Today, Frampton’s legacy is regaining relevance for a specific body of work in practice and education focused on the construction of experimental structures. Could this ultimately provide the seeds for a compelling and alternative approach to sustainable design? Contributors include: Barbara Ascher, Peter Buchanan, Karl Otto Ellefsen, David Jolly Monge, Lisbet Harboe, David Leatherbarrow, Areti Markopoulou, Philip Nobel, Rodrigo Rubio, Søren S Sørensen, Defne Sunguroðlu Hensel. Featured practices: Renzo Piano Building Workshop, Rintala Eggertsson, SHoP, Studio Mumbai, TYIN tegnestue.
Compulsory Purchase and Compensation in Ireland comprises a comprehensive inventory of compulsory purchase powers by various State and semi-State bodies in Ireland, together with a detailed and practical analysis of the law of compensation in respect of compulsory purchase.Divided into two highly practical sections, this 2nd edition key title provides the busy practitioner with a comprehensive guide to the complex subject of compulsory purchase and compensation. Drawing on a wealth of learning and experience, the author will unravel the intricacies of the present law and practice, and clearly present the advice and guidance legal practitioners working in this area will require. Part one deals with the voluminous statute law governing compulsory purchase powers and procedures. Part two covers the equally important topic of assessment of compensation. A must-have book for all practitioners specialising in property and land law.
On the tenth anniversary of its publication, this updated edition of a work ARTNews hailed as “one of the best books ever published on the art world” features new material on the latest art deals, reflections on race and culture, the impact of the pandemic on the art world, and more. Internationally renowned dealer and market expert Michael Findlay offers a lively and authoritative look at the financial and emotional value of art throughout history. In this newly revised, updated, and generously illustrated edition Findlay draws on a half-century in the business and a passion for great art to question and redefine what we mean by “value,” addressing developments in this conversation since the book was first published in 2012: the rise of NFTs and digital art; the auction house as theatre; the pressing relationship between art and society’s fraught political landscape; and the impact of the pandemic. With style and wry wit, Findlay demystifies how art is bought and sold while also constantly looking beyond sales figures to emphasize the primacy of art’s essential, noncommercial worth. Coloring his account with wise advice, insider anecdotes involving scoundrels and scams, stories of celebrity collectors, and remarkable discoveries, Findlay has distilled a lifetime’s experience in this indispensable guide, now updated for today’s sophisticated and discerning audience.
This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.
This comprehensive text presents a critical discussion of the scopes and limitations of various organic synthetic methodologies that are available for performing asymmetric transformations. In addition to purely chemical methods, the book covers applications of new enzymes and other biological systems that are increasingly useful in asymmetric methodology.
The documents selected for Francis Bacon: A Self-Portrait in Words illustrate Bacons sharp wit and ability to express complex ideas in highly personal, memorable language. Included here are not only letters to friends, patrons and fellow artists, but also intriguing notes and lists of paintings. They often come with a sketch as an aide-mémoire or an injunction to himself as he worked in the studio, and many have only come to light since his death. Bacons letters mirror and reveal his dominant preoccupations at different points throughout his long career. Most of Bacons letters have never been published and include several that he wrote to the author. Particularly intriguing is the record of a dream that he jotted down, outlining impossibly beautiful paintings he had conjured up in his sleep. Together with photographs, archive material and works by the artist are numerous reproductions of Bacons characteristic handwriting, from the briefest jottings and notes to more extensive letters and statements. Bacon frequently came up with memorable epithets and definitions. He delighted in doing with words what he set out to do in painting: 'I like phrases that cut me.' Michael Peppiatt explores the personal legacy of one of the 20th centurys most important painters and presents a compelling verbal self-portrait that reveals both man and artist.
Addresses the fundamental humanity and necessity of the visual arts : what they are about, why artists are indispensible, and why art and artists matter.
An introduction to architectural thought, this text is a thorough and accessible discussion in search of the principles of the design process. Documenting the non-verbal processes and decisions that architects and designers make is a difficult task, but one that is important when trying to understand the development of architectural design through the ages. Michael Brawne uses his experience as a practicing architect, academic and educator to provide an overview of the subject. By looking at the practices and buildings of architects past and present he incorporates history and philosophy in the search for a theory of design.
A new and wide-ranging empirical overview of party policy in 47 modern democracies, including all of the new democracies of Eastern Europe. It updates and radically extends Policy and Party Competition (1992), which established itself as a key mainstream data source for all political scientists exploring the policy positions of political parties. This essential text is divided into three clear parts: Part I introduces the study, themes and methodology Part II deals in depth with the wide range of issues involved in estimating and analyzing the policy positions of key political actors. Part III is the key data section that identifies key policy dimensions across the 47 countries, detailing their party positions and median legislators, and is complemented by graphical representations of each party system. This book is an invaluable reference for all political scientists, particularly those interested in party policy and comparative politics.
Michael Peppiatt's biography has long been viewed by Bacon scholars as the definitive life of a fascinatingly flawed figure. —Alex Larman, The Guardian (Praise for Francis Bacon: Anatomy of an Enigma) The best art memoir published in years. —Spectator Peppiatt offers a window into the experiences and emotional intelligence of this great artist. —New Statesman Fascinating and engaging. —Lynn Barber, Sunday Times (Praise for Francis Bacon in Your Blood) While working on ‘Bacon–Giacometti’, a major exhibition at the Fondation Beyeler in Basel in 2018, the curator, writer, and art historian Michael Peppiatt carried out extensive research on the relationship between the two artists. “At one point I felt I could almost hear the two of them talking”, he revealed. For Peppiatt, the dialogue between Francis Bacon and Alberto Giacometti has been ‘turning slowly’ in his mind ever since Bacon told him in detail about his encounters with the Swiss artist, while the latter was in London in 1965 to supervise the preparations for his major exhibition at the Tate. This book, written in the form of a play, is about an imagined encounter between the two men. On the evening imagined by Peppiatt, Bacon and Giacometti enjoy a lavish dinner at Wheeler’s fish restaurant, then go on to the Colony Room—Bacon’s favourite club in Soho—to pursue their freely flowing conversation about life, art, and their mutual friends. After a while, the club begins to empty out, but the two artists, sensing that they may never have another occasion to talk, order more champagne...
Thoroughly updated since the first edition of 1994, this volume contains a comprehensive account of Strasbourg case law and the underlying principles of the European Convention on Human Rights.
When it comes to viewing art, living in the information age is not necessarily a benefit. So argues Michael Findlay in this book that encourages a new way of looking at art. Much of this thinking involves stripping away what we have been taught and instead trusting our own instincts, opinions, and reactions. Including reproductions of works by Mark Rothko, Paul Klee, Joan Miró, Jacob Lawrence, and other modern and contemporary masters, this book takes readers on a journey through modern art. Chapters such as “What Is a Work of Art?”, “Can We Look and See at the Same Time?”, and “Real Connoisseurs Are Not Snobs,” not only give readers the confidence to form their own opinions, but also encourages them to make connections that spark curiosity, intellect, and imagination. “The most important thing for us to grasp,” writes Findlay, “is that the essence of a great work of art is inert until it is seen. Our engagement with the work of art liberates its essence.” After reading this book, even the most intimidated art viewer will enter a museum or gallery feeling more confident and leave it feeling enriched and inspired.
Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book’s mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader to delve deeper; much of the survey coverage is of recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including: The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence. Diffuse decision making by ensembles of neurons. The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn). A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning. The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns. This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.
In the early decades of European integration the enforcement of EU competition law was highly centralised. Virtually all enforcement actions under Articles 101 and 102 TFEU were initiated by the European Commission. More recently the enforcement of EU competition law has become less centralised - many would say even decentralised. In 2004, essentially in an effort to increase enforcement capacity in the wake of EU enlargement, the involvement of Member State competition authorities was significantly reinforced by national authorities being given power to pursue infringements of EU competition law largely on the basis of their domestic enforcement regimes. This combination of decentralisation and enforcement autonomy raises questions about the relationship between EU law and national law, as well as about the costs of enforcement. This new book links these questions by analysing how competences in the area of sanctions are distributed between EU and national law, and how this influences the costs of enforcement. The author's conclusions, which highlight the economic implications of the choices made by competition authorities, courts and legislators, will be of use to all the above in further developing EU competition policy. The PhD thesis on which this book is based was declared runner-up in the 2013 Concurrences Awards.
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1989.
Paul Klee (1879–1940) ist einer der bedeutendsten Vertreter der modernen Kunst. Er schuf ein ebenso universales wie individuelles Werk, das zwischen allen Strömungen und Ismen seiner Zeit steht. Sein gewaltiges malerisches, zeichnerisches und bildnerisches Œuvre, seine Briefe und Tagebuchaufzeichnungen und nicht zuletzt seine pädagogischen Notizen bilden den Hintergrund für diese pointierte Darstellung zu Leben und Werk des meditativen Künstlers und visuellen Denkers. Der reich bebilderte Band zeichnet Klees bewegte Biografie nach und spannt den Bogen von Klees künstlerischen Anfängen mit karikaturistischen Zeichnungen und Akten über seine Begegnung mit der Avantgarde und die berühmten Aquarelle der Tunisreise oder die abstrakten Farbkompositionen der Bauhaus-Zeit bis zu den geheimnisvollen Bildfindungen seiner letzten Jahre in Bern.
Although soccer had long been the world’s game when Michael J. Agovino first encountered it in 1982, here it was just a poor cousin to American football, to be found on obscure UHF channels and in foreign magazines. But as Agovino himself passionately pursued soccer, Americans got wise and turned it into one of the most popular sports in the country. Agovino’s love affair with soccer is a portrait of the game’s culture and an intimate history of the sport’s coming of age in the United States. Agovino’s quest takes him from the unkempt field in the Bronx where he taught himself to play to some of the sport’s most storied venues and historic matches. With Agovino we travel from school fields to Giants Stadium, then from England to Germany, Italy, and Spain, along the way taking in the final days of the North American Soccer League, the 1994 World Cup, and the birth of Major League Soccer. Offering the perspective of fan, player, and journalist, Agovino chronicles his obsession with the sport and its phenomenal evolution.
Compulsory Purchase and Compensation in Ireland comprises a comprehensive inventory of compulsory purchase powers by various State and semi-State bodies in Ireland, together with a detailed and practical analysis of the law of compensation in respect of compulsory purchase. Divided into two highly practical sections, this 2nd edition key title provides the busy practitioner with a comprehensive guide to the complex subject of compulsory purchase and compensation. Drawing on a wealth of learning and experience, the author will unravel the intricacies of the present law and practice, and clearly present the advice and guidance legal practitioners working in this area will require. Part one deals with the voluminous statute law governing compulsory purchase powers and procedures. Part two covers the equally important topic of assessment of compensation. A must-have book for all practitioners specialising in property and land law.
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