Image Processing Using Pulse-Coupled Neural Networks

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.

Processing是一款使用方便、靈活的創意編程工具，語法簡潔易學，使用它可以非常高效地創作豐富多樣的動態視覺效果和交互作品。《Processing程序交互與動態視覺設計實戰》重點引導讀者學習Processing在動態視覺設計方面的基礎知識和實踐創作技能，同時也介紹Processing如何通過鼠標、鍵盤、攝像頭等進行數據讀取，從而創作程序交互的新媒體作品。《Processing程序交互與動態視覺設計實戰》通過大量的編程範例，帶領讀者從基礎的圖形繪製開始學習，從創意文本到創建動畫，直到生成各種令人驚豔的圖案，或者定制用戶界面，再重點講解與鼠標、鍵盤的互動以及聲音、圖像讀取等的控制程序，最後展示如何用編程創作互動海報招貼的實例，讓讀者在此基礎上自行擴展，創作更多的互動效果作品。《Processing程序交互與動態視覺設計實戰》附贈全部程序代碼源文件和教學課件。讀者可掃描前言中的二維碼獲取。《Processing程序交互與動態視覺設計實戰》可作為新媒體、數字媒體、視覺藝術等相關專業的學習用書，也可供設計師、程序員和藝術工作者等閱讀參考。

This seminal text demystifies all the terminology around working with textiles today, providing definitions of processes, techniques, features, and even some historical terms that you need to know. The dictionary now includes coverage of sustainability, smart materials and biobased textiles, intelligent and 3D manufacturing, new technologies, and processes. Entries cover fibers, fabrics, laws and regulations affecting textile materials and processing, inventors of textile technology, and business and trade terms relevant to textiles. Highly illustrated with over 400 images, entries include pronunciation, derivation, definition, and uses. The ninth edition also includes online availability to vocabulary and image flashcards via STUDIO for easy on-the-go access.

A new vision of the brain as a fully integrated, networked organ.Popular neuroscience accounts often focus on specific mind-brain aspects like addiction, cognition, or memory, but The Entangled Brain tackles a much bigger question: What kind of object is the brain? Neuroscientist Luiz Pessoa describes the brain as a highly networked, interconnected system that cannot be neatly decomposed into a set of independent parts. One can’t point to the brain and say, “This is where emotion happens” (or any other mental faculty). Pessoa argues that only by understanding how large-scale neural circuits combine multiple and diverse signals can we truly appreciate how the brain supports the mind.Presenting the brain as an integrated organ and drawing on neuroscience, computation, mathematics, systems theory, and evolution, The Entangled Brain explains how brain functions result from cross-cutting brain processing, not the function of segregated areas. Parts of the brain work in a coordinated fashion

In this ambitious new study, Sophie Brockmann argues that interactions with landscape and environment were central to the construction of Central American identities in the Age of Enlightenment. She argues that new intellectual connections and novel ways of understanding landscapes had a transformative impact on political culture, as patriotic reformers sought to improve the region's fortunes by applying scientific and 'useful' knowledge gathered from local and global networks to the land. These reformers established networks that extended into the countryside and far beyond Central America's borders. Tracing these networks and following the bureaucrats, priests, labourers, merchants and scholars within them, Brockmann shows how they made a lasting impact by defining a new place for the natural world in narratives of nation and progress.

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

Complex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the authors discuss a number of ways in which this idea of modularity can be conceptualised, focusing specifically on the interplay between modular network structure and dynamics taking place on a network. They discuss, in particular, how modular structure and symmetries may impact on network dynamics and, vice versa, how observations of such dynamics may be used to infer the modular structure. They also revisit several other notions of modularity that have been proposed for complex networks and show how these can be related to and interpreted from the point of view of dynamical processes on networks.

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Sentence comprehension - the way we process and understand spoken and written language - is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading computational model of retrieval processes in sentence processing, the Lewis and Vasishth cue-based retrieval mode, and develops a principled methodology for parameter estimation and model comparison/evaluation using benchmark data, to enable researchers to test their own models of retrieval against the present model. It also provides readers with an overview of the last 20 years of research on the topic of retrieval processes in sentence comprehension, along with source code that allows researchers to extend the model and carry out new research. Comprehensive in its scope, this book is essential readi

New York Times bestselling author Paige Tyler brings pulse-pounding suspense and scorching romancePARANORMAL ROMANTIC SUSPENSETwelfth in Paige Tyler's sexy, pulse-pounding Special Wolf Alpha Team seri

Discover a rigorous treatment of aerogels processing and techniques for characterization with this easy-to-use reference. Presents the basics of aerogel synthesis and gelation to open porous nanostructures, and the processing of wet gels like ambient and supercritical drying leading to aerogels. Describes their essential properties with their measurement techniques and theoretical models used to analyse relations to their nanostructure. Linking the fundamentals and with practical applications, this is a useful toolkit for advanced undergraduates, and graduate students doing research in material and polymer science, physical chemistry, and chemical and environmental engineering.

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes wit

There is an increasing demand for high-standard fetal and infant neuropathology examinations. Novel imaging techniques, development of new diagnostic methods and advances in genetics have stimulated the interest in gaining additional knowledge on developmental, perinatal and neonatal neuropathology. Approaching the subject from a practical standpoint, diagnostic templates for reports are provided in this essential guide to aid clinicians with different areas of expertise. Each chapter will includes numerous high-quality images, accompanied by explanatory legends from the authors' own experiences. Covering autopsy and tissue processing techniques, the authors discuss a range of disorders such as neural tube defects, brain tumours, storage disorders and many others. This book provides access to an online version on Cambridge Core, which can be accessed via the code printed on the inside of the cover. Compiling the latest advances in fetal and infant diagnostics and care, this book is a h

Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social e

Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social e

Automotive Plastics and Composites: Materials and Processing is an essential guide to the use of plastic and polymer composites in automotive applications, whether in the exterior, interior, under-the

Roselle: Production, Processing, Products and Biocomposites complies the latest findings on the production, processing, products and composites of the roselle plant. The book provides researchers with the latest information on its entire use, including fibers and fruit for any application. Subjects covered include environmental advantages and challenges, the plant as a renewable resource, economic issues such as the impact of biobased medicines, biodiesel, the current market for roselle products and regulations for food packaging materials.Sections include commentary from leading industrial and academic experts in the field who present cutting-edge research on roselle fiber for a variety of industries. By comprehensively covering the development and characterization of roselle fiber as a potential to replace conventional fiber made from petroleum-based polymers, this book is a must-have resource for anyone requiring up-to-date knowledge on the lifecycle of the roselle plant.

A self-help guide that answers your questions about body image and disordered eating This nonfiction self-help book for young readers with disordered eating and body image problems delivers real talk

This clear and easy-to-use workbook provides clinicians, clients, and those interested in self-improvement with a practical guide to understanding and improving body image through the latest research findings and clinical tools. The key components of positive body image, such as embodiment, body appreciation, self-care, intuitive eating, social comparison, and body talk, are all covered, with reliable assessments and guidelines for applications accompanying each topic. An array of assignments are also included for clients and readers to complete based on their values, needs and interests to provide positive body image. Clinicians will appreciate the practical treatment planning sections (including talking points for sessions, goals and objectives) to assist in clinical interventions. Additionally, a specific chapter is devoted to how clinicians can prepare themselves both professionally and personally for body image work. Access to downloadable assignments available at: www.cambridge.o

This book explores how predictive processing, which argues that our brains are constantly generating and updating hypotheses about our external conditions, sheds new light on the nature of the mind. I

In this ambitious new study, Sophie Brockmann argues that interactions with landscape and environment were central to the construction of Central American identities in the Age of Enlightenment. She argues that new intellectual connections and novel ways of understanding landscapes had a transformative impact on political culture, as patriotic reformers sought to improve the region's fortunes by applying scientific and 'useful' knowledge gathered from local and global networks to the land. These reformers established networks that extended into the countryside and far beyond Central America's borders. Tracing these networks and following the bureaucrats, priests, labourers, merchants and scholars within them, Brockmann shows how they made a lasting impact by defining a new place for the natural world in narratives of nation and progress.

Network and Connections in Legal History examines networks of lawyers, legislators and litigators, and how they shaped legal development in Britain and the world. It explores how particular networks of lawyers - from Scotland to East Florida and India - shaped the culture of the forums in which they operated, and how personal connections could be crucial in pressuring the legislature to institute reform - as with twentieth century feminist campaigns. It explores the transmission of legal ideas; what happened to those ideas was not predetermined, but when new connections were made, they could assume a new life. In some cases, new thinkers made intellectual connections not previously conceived, in others it was the new purposes to which ideas and practices were applied which made them adapt. This book shows how networks and connections between people and places have shaped the way that legal ideas and practices are transmitted across time and space.

The pulse-pounding original prequel series based on the stealth horror video game Hello Neighbor continues!

Because of its ability to sense the Earth's surface at night and during the day, under any weather condition, Synthetic Aperture Radar (SAR) has become a well-established and powerful remote sensing technology that is used worldwide for numerous applications. This book compiles 19 research works that investigate different aspects of SAR processing, SAR image analysis, and SAR applications. The contributions cover topics related to multi-angle/wide-angle SAR imaging; Doppler parameter estimation; data-driven focusing; Inverse SAR (ISAR) applied to pulsar signal modeling and detection; ground-based SAR; near-field interferometric ISAR; the interaction between SAR signals and the Infosphere; SAR interferometry for ground displacement monitoring, feature extraction, and change detection; and SAR-based sea applications. The selected studies represent real examples of the abundant research ongoing in the field of SAR processing and applications, and they further demonstrate that SAR imaging

This book provides an updated description of the most relevant types of highly nonlinear fibers. It also describes some of their actual applications for nonlinear optical signal processing. Multiple t

It is worrying to think that most girls feel dissatisfied with their bodies, and that this can lead to serious problems including depression and eating disorders. Can some of those body image worries be eased? Body image expert and psychology professor Dr Charlotte Markey helps girls aged 9-15 to understand, accept, and appreciate their bodies. She provides all the facts on puberty, mental health, self-care, why diets are bad news, dealing with social media, and everything in-between. Girls will find answers to questions they always wanted to ask, the truth behind many body image myths, and real-life stories from girls who share their own experiences. Through this easy-to-read and beautifully illustrated guide, Dr Markey teaches girls how to nurture both mental and physical health to improve their own body image, shows the positive impact they can have on others, and enables them to go out into the world feeling fearless!

Understand the fundamental principles and applications of ambient backscatter technology with this authoritative review. Covering both theory and practical engineering, leading researchers describe and explain hardware design, network design, and signal processing, and discuss architectures, protocols, communication methods, open research issues, emerging applications, and advanced system models with innovative solutions. This is an essential tool for graduate students, researchers, engineers, developers, and entrepreneurs.

With the rapid growth of wireless communications, this book meets a strong demand for information and new research in the area of antenna, signal processing, and microelectronics engineering. Providin

Human color perception is widely understood to be based on a neural coding system involving signals from three distinct classes of retinal photoreceptors. This retina processing model has long served as the mainstream scientific template for human color vision research and has also proven to be useful for the practical design of display technologies, user interfaces, and medical diagnosis tools that enlist human color perception behaviors. Recent findings in the area of retinal photopigment gene sequencing have provided important updates to our understanding of the molecular basis and genetic inheritance of individual variations of human color vision. This Element focuses on new knowledge about the linkages between color vision genetics and color perception variation and the color perception consequences of inheriting alternative, nonnormative, forms of genetic sequence variation.

How does a human acquire, comprehend, produce and control multiple languages with just the power of one mind? What are the cognitive consequences of being a bilingual? These are just a few of the intriguing questions at the core of studying bilingualism from psycholinguistic and neurocognitive perspectives. Bringing together some of the world's leading experts in bilingualism, cognitive psychology and language acquisition, The Cambridge Handbook of Bilingual Processing explores these questions by presenting a clear overview of current theories and findings in bilingual processing. This comprehensive handbook is organized around overarching thematic areas including theories and methodologies, acquisition and development, comprehension and representation, production, control, and the cognitive consequences of bilingualism. The handbook serves as an informative overview for researchers interested in cognitive bilingualism and the logic of theoretical and experimental approaches to languag

In this book, meshes and networks formed out of multiwalled carbon nanotubes are investigated and analyzed, including their use in niche applications such as electro-optic devices, advanced mechanical

River networks are critically important ecosystems. This interdisciplinary book provides an integrated ecohydrological framework blending laboratory, field, and theoretical evidence that changes our understanding of river networks as ecological corridors. It describes how the physical structure of the river environment impacts biodiversity, species invasions, population dynamics, and the spread of waterborne disease. State-of-the-art research on the ecological roles of the structure of river networks is summarized, including important studies on the spread and control of waterborne diseases, biodiversity loss due to water resource management, and invasions by non-native species. Practical implications of this research are illustrated with numerous examples throughout. This is an invaluable go-to reference for graduate students and researchers interested in river ecology and hydrology, and the links between the two. Describing new related research on spatially-explicit modeling of the s

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

The finite element method (FEM) is indispensable in modeling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. This textbook integrates basic theory with real-life, design-oriented problems using ANSYS, the most commonly used computational software in the field. For students as well as practicing engineers and designers, each chapter is highly illustrated and presented in a step-by-step manner. Fundamental concepts are presented in detail with reference to easy to understand worked examples that clearly introduce the method before progressing to more advanced content. Included are step-by-step solutions for project type problems using modelling software, special chapters for modelling and the use of ANSYS and Workbench programs, and extensive sets of problems and projects round out each ch

This book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents the concepts with minimum use of mathematical formulations an

Machine Vision and Image Recognition informs the readers about the behavior fusion for visually guided service robots and the approaches and limitation in achieving vision in machine. The readers are

An in-depth study of the expanding role of the moving image in British art over the past thirty years Over the past three decades the moving image has grown from a marginalized medium of British art i

Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scala