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Multimedia QoE Evaluation (SpringerBriefs in Computer Science)
by Xin Wei Liang ZhouThis SpringerBrief discusses the most recent research in the field of multimedia QoE evaluation, with a focus on how to evaluate subjective multimedia QoE problems from objective techniques. Specifically, this SpringerBrief starts from a comprehensive overview of multimedia QoE definition, its influencing factors, traditional modeling and prediction methods. Subsequently, the authors introduce the procedure of multimedia service data collection, preprocessing and feature extractions. Then, describe several proposed multimedia QoE modeling and prediction techniques in details. Finally, the authors illustrate how to implement and demonstrate multimedia QoE evaluation in the big data platform. This SpringerBrief provides readers with a clear picture on how to make full use of multimedia service data to realize multimedia QoE evaluation. With the exponential growth of the Internet technologies, multimedia services become immensely popular. Users can enjoy multimedia services from operators or content providers by TV, computers and mobile devices. User experience is important for network operators and multimedia content providers. Traditional QoS (quality of service) can not entirely and accurately describe user experience. It is natural to research the quality of multimedia service from the users’ perspective, defined as multimedia quality of experience (QoE). However, multimedia QoE evaluation is difficult, because user experience is abstract and subjective, hard to quantify and measure. Moreover, the explosion of multimedia service and emergence of big data, all call for a new and better understanding of multimedia QoE.This SpringerBrief targets advanced-level students, professors and researchers studying and working in the fields of multimedia communications and information processing. Professionals, industry managers, and government research employees working in these same fields will also benefit from this SpringerBrief.
Multimodal Analytics for Next-Generation Big Data Technologies and Applications
by Kah Phooi Seng Li-Minn Ang Alan Wee-Chung Liew Junbin GaoThis edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (Lecture Notes in Computer Science #11846)
by Dajiang Zhu Jingwen Yan Heng Huang Li Shen Paul M. Thompson Carl-Fredrik Westin Xavier Pennec Sarang Joshi Mads Nielsen Tom Fletcher Stanley Durrleman Stefan SommerThis book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected. The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications. The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11377)
by Friedhelm Schwenker Stefan SchererThis book constitutes the refereed post-workshop proceedings of the 5th IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2018, held in Beijing, China, in August 2018. The 10 revised papers presented in this book focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition and pain intensity estimation, especially the question how to distinguish between human emotions from pain or stress induced by pain is discussed.
Multiple Access Techniques for 5G Wireless Networks and Beyond
by Mojtaba Vaezi Zhiguo Ding H. Vincent PoorThis book presents comprehensive coverage of current and emerging multiple access, random access, and waveform design techniques for 5G wireless networks and beyond. A definitive reference for researchers in these fields, the book describes recent research from academia, industry, and standardization bodies. The book is an all-encompassing treatment of these areas addressing orthogonal multiple access and waveform design, non-orthogonal multiple access (NOMA) via power, code, and other domains, and orthogonal, non-orthogonal, and grant-free random access. The book builds its foundations on state of the art research papers, measurements, and experimental results from a variety of sources.
Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations (International Series in Operations Research & Management Science #274)
by Sandra Huber Martin Josef Geiger Adiel Teixeira de AlmeidaThis book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.
Multiple Sequenzalignments: Welches Programm passt zu meinen Daten?
by Theodor SperleaDieses Buch ist ein praktischer Ratgeber für Biologinnen und Biologen, die Multiple Sequenzalignments (MSAs) für ihre Datenanalysen verwenden und einen verständlichen Überblick über die vielen verschiedenen Programme suchen. Trotz ihres wichtigen Stellenwertes in der Datenanalyse herrscht Unsicherheit unter den Forschenden wie MSA-Programme genau funktionieren - ganz zu schweigen davon, wie und warum die unterschiedlichen Analysen zu verschiedenen Ergebnissen führen. Welches Programm ist für die Auswertung meiner Daten das richtige und wie kann ich sicherstellen, alle relevanten Erkenntnisse aus den Alignments gezogen zu haben? Dieses Buch bietet hilfreiche Erklärungen und Hintergründe ohne große bioinformatische Vorkenntnisse vorauszusetzen und führt die Leserinnen und Leser langsam in die Thematik ein.Im ersten Teil des Buches werden die möglichen Einsatzfelder wie auch die Formate, die üblicherweise von MSA-Programmen produziert werden, im Detail beschrieben. Ebenso werden auf unkomplizierte Weise die zentralen Algorithmen sowie die inneren Abläufe der gängigsten MSA-Programme der Vergangenheit und der Gegenwart in größerer Detailtiefe erklärt. Den zweiten Teil des Buches bildet ein ausführlicher datenbasierter Vergleich zwischen MSA-Programmen, der als Entscheidungshilfe für die Programmauswahl für dein nächstes Alignment dienen soll.
Multiview Machine Learning
by Shiliang Sun Liang Mao Ziang Dong Lidan WuThis book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.
Museums and Digital Culture: New Perspectives and Research (Springer Series on Cultural Computing)
by Tula Giannini Jonathan P. BowenThis book explores how digital culture is transforming museums in the 21st century. Offering a corpus of new evidence for readers to explore, the authors trace the digital evolution of the museum and that of their audiences, now fully immersed in digital life, from the Internet to home and work. In a world where life in code and digits has redefined human information behavior and dominates daily activity and communication, ubiquitous use of digital tools and technology is radically changing the social contexts and purposes of museum exhibitions and collections, the work of museum professionals and the expectations of visitors, real and virtual. Moving beyond their walls, with local and global communities, museums are evolving into highly dynamic, socially aware and relevant institutions as their connections to the global digital ecosystem are strengthened. As they adopt a visitor-centered model and design visitor experiences, their priorities shift to engage audiences, convey digital collections, and tell stories through exhibitions. This is all part of crafting a dynamic and innovative museum identity of the future, made whole by seamless integration with digital culture, digital thinking, aesthetics, seeing and hearing, where visitors are welcomed participants. The international and interdisciplinary chapter contributors include digital artists, academics, and museum professionals. In themed parts the chapters present varied evidence-based research and case studies on museum theory, philosophy, collections, exhibitions, libraries, digital art and digital future, to bring new insights and perspectives, designed to inspire readers. Enjoy the journey!
My Drunk Kitchen Holidays!: How to Savor and Celebrate the Year: A Cookbook
by Hannah HartNew York Times bestselling author and Food Network star Hannah Hart is back with her biggest book ever: a humorous holiday cookbook celebrating year-round festivities with food, drink, and friends. In a world where everyone is looking for some good news and something to celebrate, Hannah Hart is there with almost fifty ideas, arranged into twelve months of themes and recipes for how to celebrate with family and friends. A collection of recipes, activities, and suggestions about hilarious and joyous ways to celebrate with family, friends, pets, and your entire community, My Drunk Kitchen Holidays! will commemorate holidays from Valentine's Day to Graduation, Pride Month and International Left-Handers’ Day (really!). The book will culminate with the fall holidays that get much deserved attention: recipes for Halloween, Thanksgiving, and a celebration of Hanukkah/Kwanzaa/Christmas that is festive, inclusive, and incredibly hilarious.
The Mysterious Affair at Olivetti: IBM, the CIA, and the Cold War Conspiracy to Shut Down Production of the World's First Desktop Computer
by Meryle SecrestThe never-before-told true account of the design and development of the first desktop computer by the world's most famous high-styled typewriter company, more than a decade before the arrival of the Osborne 1, the Apple 1, the first Intel microprocessor, and IBM's PC5150.The human, business, design, engineering, cold war, and tech story of how the Olivetti company came to be, how it survived two world wars and brought a ravaged Italy back to life, how after it mastered the typewriter business with the famous "Olivetti touch," it entered the new, fierce electronics race; how its first desktop compter, the P101, came to be; how, within eighteen months, it had caught up with, and surpassed, IBM, the American giant that by then had become an arm of the American government, developing advanced weapon systems; Olivetti putting its own mainframe computer on the market with its desktop prototype, selling 40,000 units, including to NASA for its lunar landings. How Olivetti made inroads into the US market by taking control of Underwood of Hartford CT as an assembly plant for Olivetti's own typewriters and future miniaturized personal computers; how a week after Olivetti purchased Underwood, the US government filed an antitrust suit to try to stop it; how Adriano Olivetti, the legendary idealist, socialist, visionary, heir to the company founded by his father, built the company into a fantastical dynasty--factories, offices, satellite buildings spread over more than fifty acres--while on a train headed for Switzerland in 1960 for supposed meetings and then to Hartford, never arrived, dying suddenly of a heart attack at fifty-eight . . . how eighteen months later, his brilliant young engineer, who had assembled Olivetti's superb team of electronic engineers, was killed, as well, in a suspicious car crash, and how the Olivetti company and the P101 came to its insidious and shocking end.
Myths of Branding: A Brand is Just a Logo, and Other Popular Misconceptions (Business Myths)
by Simon Bailey Andy MilliganA brand is just a logo - everyone knows that, don't they? After all, it's not as though a good brand can save a bad business, and besides, the digital revolution is making branding irrelevant...Myths of Branding, written by renowned branding experts Andy Milligan and Simon Bailey, explores the huge number of misguided, mistaken and blatantly false myths that abound in the branding arena. From the belief that developing brands is nothing more than fiddling with logos, to the perception that it's a 'soft' area of marketing that doesn't go beyond visual identity - these myths are all surprisingly entrenched, yet could not be further from the truth. Myths of Branding takes the most up-to-date research and evidence to debunk these popular misconceptions, and replaces them with the reality of what it's really like to work in the world of branding. Jam-packed with entertaining anecdotes and useful information that practitioners' can learn from, it guarantees a deeper, sharper understanding of the realities of branding and brand management.
Nachrichten verschlüsseln für Dummies Junior (Für Dummies)
by Katrin Buttner Thomas KnappWenn du mit deinem Smartphone eine Nachricht versendest, möchtest du, dass niemand mitliest oder mitkriegt, worum es geht. Deine Nachrichten sollen privat bleiben. Nachrichten über größere Entfernungen zu übermitteln und Nachrichten unter Verschluss zu halten, war den Menschen schon immer wichtig. In diesem Buch erfährst du, welche Lösungen man dafür gefunden hat; vom historischen Fackeltelegraf über die Vigenère-Verschlüsselung bis hin zum heute eingesetzten RSA-Kryptosystem. Bestens geeignet für Kinder und Jugendliche ab 10 Jahre.
Naming Game: Models, Simulations and Analysis (Emergence, Complexity and Computation #34)
by Guanrong Chen Yang LouThis book provides a gradual introduction to the naming game, starting from the minimal naming game, where the agents have infinite memories (Chapter 2), before moving on to various new and advanced settings: the naming game with agents possessing finite-sized memories (Chapter 3); the naming game with group discussions (Chapter 4); the naming game with learning errors in communications (Chapter 5) ; the naming game on multi-community networks (Chapter 6) ; the naming game with multiple words or sentences (Chapter 7) ; and the naming game with multiple languages (Chapter 8). Presenting the authors’ own research findings and developments, the book provides a solid foundation for future advances. This self-study resource is intended for researchers, practitioners, graduate and undergraduate students in the fields of computer science, network science, linguistics, data engineering, statistical physics, social science and applied mathematics.
Nanoscale Networking and Communications Handbook
by John VaccaThis comprehensive handbook serves as a professional reference as well as a practitioner's guide to today's most complete and concise view of nanoscale networking and communications. It offers in-depth coverage of theory, technology, and practice as they relate to established technologies and recent advancements. It explores practical solutions to a wide range of nanoscale networking and communications issues. Individual chapters, authored by leading experts in the field, address the immediate and long-term challenges in the authors' respective areas of expertise.
NASA Formal Methods: 11th International Symposium, NFM 2019, Houston, TX, USA, May 7–9, 2019, Proceedings (Lecture Notes in Computer Science #11460)
by Julia M. Badger Kristin Yvonne RozierThis book constitutes the proceedings of the 11th International Symposium on NASA Formal Methods, NFM 2019, held in Houston, TX, USA, in May 2019. The 20 full and 8 short papers presented in this volume were carefully reviewed and selected from 102 submissions. The papers focus on formal verification, including theorem proving, model checking, and static analysis; advances in automated theorem proving including SAT and SMT solving; use of formal methods in software and system testing; run-time verification; techniques and algorithms for scaling formal methods, such as abstraction and symbolic methods, compositional techniques, as well as parallel and/or distributed techniques; code generation from formally verified models; safety cases and system safety; formal approaches to fault tolerance; theoretical advances and empirical evaluations of formal methods techniques for safety-critical systems, including hybrid and embedded systems; formal methods in systems engineering and model-based development; correct-by-design controller synthesis; formal assurance methods to handle adaptive systems.
National 5 Computing Science: Second Edition
by John Walsh Jane PatersonExam Board: SQALevel: National 5 Subject: Computing ScienceFirst Teaching: August 2017First Exam: June 2018National 5 Computing Science provides complete coverage of the new SQA syllabus for the updated National 5 course Ensures clear support throughout the course with a text built specifically around the requirements, teaching approaches and syllabus outlines. Divided into four sections to follow this latest syllabus: Software Design and Development, Computer Systems, Database Design and Development and Web Design and Development.Assesses student progress with regular questions for National 5 students to test knowledge and understandingConsolidates knowledge with a summary of key points at the end of each chapterIncludes a glossary and index for ease of reference
National 5 Computing Science, Second Edition
by John Walsh Jane PatersonExam Board: SQALevel: National 5 Subject: Computing ScienceFirst Teaching: August 2017First Exam: June 2018National 5 Computing Science provides complete coverage of the new SQA syllabus for the updated National 5 course Ensures clear support throughout the course with a text built specifically around the requirements, teaching approaches and syllabus outlines. Divided into four sections to follow this latest syllabus: Software Design and Development, Computer Systems, Database Design and Development and Web Design and Development.Assesses student progress with regular questions for National 5 students to test knowledge and understandingConsolidates knowledge with a summary of key points at the end of each chapterIncludes a glossary and index for ease of reference
Native Advertising: Digitale Werbung Mit Nativen Kampagnen
by Cevahir Ejder Coskun TunaDieses Buch erklärt kompakt und auf den Punkt, was Native Advertising ist, wie diese neue Werbedisziplin funktioniert und welche Vorteile sie Werbungtreibenden bietet. Die Autoren – selber Vorreiter in dieser jungen Branche – geben einen aktuellen Überblick mit wichtigen Daten und Fakten, erklären alle nativen Werbeformate im Detail und beschreiben die Technologien sowie die durchaus kontrovers diskutierten Rollen der einzelnen Player dabei: Publisher, Advertiser und Konsumenten.Ein Praxisleitfaden für alle, die an Online-Werbung jenseits von Bannern und Rectangles interessiert sind, um ihren Produkten mit sensibel gestalteten und gut ausgesteuerten nativen Kampagnen mehr Glaubwürdigkeit und Sympathie zu verleihen.
Natural Computing for Unsupervised Learning (Unsupervised and Semi-Supervised Learning)
by Xiangtao Li Ka-Chun WongThis book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning. Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms
Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part II (Lecture Notes in Computer Science #11839)
by Jie Tang Min-Yen Kan Dongyan Zhao Sujian Li Hongying ZanThis two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.
Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11838)
by Jie Tang Min-Yen Kan Dongyan Zhao Sujian Li Hongying ZanThis two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.
Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings (Lecture Notes in Computer Science #11608)
by Elisabeth Métais Farid Meziane Sunil Vadera Vijayan Sugumaran Mohamad SaraeeThis book constitutes the refereed proceedings of the 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, held in Salford, UK, in June 2019. The 21 full papers and 16 short papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: argumentation mining and applications; deep learning, neural languages and NLP; social media and web analytics; question answering; corpus analysis; semantic web, open linked data, and ontologies; natural language in conceptual modeling; natural language and ubiquitous computing; and big data and business intelligence.
Natural Language Processing Fundamentals: Build intelligent applications that can interpret the human language to deliver impactful results
by Dwight Gunning Sy Hwang Dongjun JungNatural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers, who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python - using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but is not necessary.
Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
by Hannes Hapke Cole Howard Hobson LaneSummaryNatural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyRecent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.About the BookNatural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.What's insideSome sentences in this book were written by NLP! Can you guess which ones?Working with Keras, TensorFlow, gensim, and scikit-learnRule-based and data-based NLPScalable pipelinesAbout the ReaderThis book requires a basic understanding of deep learning and intermediate Python skills.About the AuthorHobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production.Table of ContentsPART 1 - WORDY MACHINESPackets of thought (NLP overview)Build your vocabulary (word tokenization)Math with words (TF-IDF vectors)Finding meaning in word counts (semantic analysis)PART 2 - DEEPER LEARNING (NEURAL NETWORKS)Baby steps with neural networks (perceptrons and backpropagation)Reasoning with word vectors (Word2vec)Getting words in order with convolutional neural networks (CNNs)Loopy (recurrent) neural networks (RNNs)Improving retention with long short-term memory networksSequence-to-sequence models and attentionPART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)Information extraction (named entity extraction and question answering)Getting chatty (dialog engines)Scaling up (optimization, parallelization, and batch processing)