Download or read book 43 Visions for Complexity written by Stefan Thurner and published by World Scientific. This book was released on 2016-11-11 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coping with the complexities of the social world in the 21st century requires deeper quantitative and predictive understanding. Forty-three internationally acclaimed scientists and thinkers share their vision for complexity science in the next decade in this invaluable book. Topics cover how complexity and big data science could help society to tackle the great challenges ahead, and how the newly established Complexity Science Hub Vienna might be a facilitator on this path.
Download or read book 43 Visions for Complexity written by Stefan Thurner and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comprehending the Complexity of Countries written by Hans Kuijper and published by Springer Nature. This book was released on 2022-01-18 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book argues for computer-aided collaborative country research based on the science of complex and dynamic systems. It provides an in-depth discussion of systems and computer science, concluding that proper understanding of a country is only possible if a genuinely interdisciplinary and truly international approach is taken; one that is based on complexity science and supported by computer science. Country studies should be carefully designed and collaboratively carried out, and a new generation of country students should pay more attention to the fast growing potential of digitized and electronically connected libraries. In this frenzied age of globalization, foreign policy makers may – to the benefit of a better world – profit from the radically new country studies pleaded for in the book. Its author emphasizes that reductionism and holism are not antagonistic but complementary, arguing that parts are always parts of a whole and a whole has always parts.
Download or read book Cultural Patterns And Neurocognitive Circuits Ii East west Connections written by Gulyas Balazs and published by World Scientific. This book was released on 2017-12-26 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contents of this book continues the theme as in the previous volume on cultural patterns and cognitive patterns in the East and West, with special regard to those patterns which are determined by our natural-genetic endownments in contrast to those patterns which are influenced by our cultural ("East-West") influences, and within this context a unique flavour is given to the "good life" aspects of adapting to this global community. The chapters written by leading neuroscientists, give an overarching picture from the elementary organisational principles of the human brain through the basic perceptual and motor functions of the brain to the highest levels of cognition, including aesthetical or moral judgments, with an eye on what can be called "good life" in both Eastern and Western cultures. A unique compilation of state-of-the-art overviews of how the human brain is organised and functions in order to achieve high level of social, moral or aesthetic thoughts across cultures. Contents: Preface (J Vasbinder and B Gulyás)Introduction (Sydney Brenner)Neuronal Circuits: Action Observation as a Visual Process: Different Classes of Actions Engage Distinct Regions of Human PPC (Guy A Orban)The Power of Single Cases: Examples from the Early Visual Pathway and from Visual Art (Ernst Pöppel and Yan Bao)Emergence of Higher Cognitive Functions: Imitation: Mechanisms and Importance for Human Culture (Giacomo Rizzolatti)Brain Mechanisms of Tool-Use that Advance Our Knowledge Beyond the Border Neural Correlates of "Proto-Language" in the Monkey Brain (Atsushi Iriki and Kevin W McCairn)Conscious Processing: Unity in Time Rather Than in Space (Wolf Singer)Highest Cognitive Functions: Overcoming "Monocausalitis" by Complementarity as a Generative Principle and a Thought Pattern Exemplified with Aesthetic Appreciations and the Arts (Yan Bao and Ernst Pöppel)Modelling Levels of Consciousness for Language Development in Infants: A Feature-based Approach (Helena Hong Gao)Individual Differences in Math Achievement: Finland and Singapore (Kerry Lee and Pirjo Aunio)Moral Progress Requires a Coupling Between Empathy and Reason — A Social Neuroscience Perspective (Jean Decety)Appendix: The Video and Presentation Links Readership: Students and researchers interested in following cultural and behavioral patterns, with respect to their neurobiological foundations. Keywords: Cultures;Cognitive Patterns;Cultural Patterns;Behavioral PatternsReview: Key Features: Contributions from world renowned neuroscientistsFocus on highest level neurocognitive functions, including perception, action, learningJudgements on aesthetics, morals and good life
Download or read book Evolutionary Computing and Artificial Intelligence written by Fernando Koch and published by Springer. This book was released on 2019-03-13 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift volume is published in honor of Takao Terano on the occasion of his retirement. Takao Terano is a leading expert in the areas of agent-based modelling, knowledge systems, evolutionary computation, and service science.The contributions in this volume reflect the breadth and impact of his work. The volume contains 12 full papers related to Takao Terano’s research. They deal with various aspects of artificial intelligence, multi-agent systems, collaborative and social computing, social networks, ubiquitous computing.
Download or read book Business and Consumer Analytics New Ideas written by Pablo Moscato and published by Springer. This book was released on 2019-05-30 with total page 1005 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Download or read book Visions of England written by Paul Dave and published by Berg. This book was released on 2006-03 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description
Download or read book Developing and Applying Biologically Inspired Vision Systems Interdisciplinary Concepts written by Pomplun, Marc and published by IGI Global. This book was released on 2012-11-30 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides interdisciplinary research that evaluates the performance of machine visual models and systems in comparison to biological systems, blending the ideas of current scientific knowledge and biological vision"--
Download or read book Parallel Computer Vision written by Leonard Uhr and published by Elsevier. This book was released on 2014-08-05 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Computer Vision
Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-22 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Download or read book Abstraction in Artificial Intelligence and Complex Systems written by Lorenza Saitta and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.
Download or read book Handbook Of Pattern Recognition And Computer Vision written by Patrick S P Wang and published by World Scientific. This book was released on 1993-08-31 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades. This comprehensive handbook, with chapters by leading experts in their fields, documents both the basics and new and advanced results.The book gives the most total treatment of basic methods in pattern recognition including statistical, neurocomputing, syntactic/structural/grammatical approaches, feature selection and cluster analysis; and an extensive presentation of basic methods in computer vision including texture analysis and models, color, geometrical tools, image sequence analysis, etc. Major and unique applications are also covered, such as food handling using computer vision, non-destructive evaluation of materials, applications in economics and business, medical image recognition and understanding, etc. Broader system aspects are also examined, including optical pattern recognition and architectures for computer vision.Researchers, students and users of pattern recognition and computer vision will find the book an essential reference tool. The volume is also an invaluable collection of basic techniques and principles, which would otherwise be hard to assemble, in one convenient volume.
Download or read book Vision and Attention written by Michael Jenkin and published by Springer Science & Business Media. This book was released on 2001-05-18 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Color images and video clips.
Download or read book Deep Learning for Vision Systems written by Mohamed Elgendy and published by Simon and Schuster. This book was released on 2020-10-11 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings
Download or read book Covariances in Computer Vision and Machine Learning written by Hà Quang Minh and published by Springer Nature. This book was released on 2022-05-31 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covariance matrices play important roles in many areas of mathematics, statistics, and machine learning, as well as their applications. In computer vision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical applications. In this book, we begin by presenting an overview of the {\it finite-dimensional covariance matrix} representation approach of images, along with its statistical interpretation. In particular, we discuss the various distances and divergences that arise from the intrinsic geometrical structures of the set of Symmetric Positive Definite (SPD) matrices, namely Riemannian manifold and convex cone structures. Computationally, we focus on kernel methods on covariance matrices, especially using the Log-Euclidean distance. We then show some of the latest developments in the generalization of the finite-dimensional covariance matrix representation to the {\it infinite-dimensional covariance operator} representation via positive definite kernels. We present the generalization of the affine-invariant Riemannian metric and the Log-Hilbert-Schmidt metric, which generalizes the Log-Euclidean distance. Computationally, we focus on kernel methods on covariance operators, especially using the Log-Hilbert-Schmidt distance. Specifically, we present a two-layer kernel machine, using the Log-Hilbert-Schmidt distance and its finite-dimensional approximation, which reduces the computational complexity of the exact formulation while largely preserving its capability. Theoretical analysis shows that, mathematically, the approximate Log-Hilbert-Schmidt distance should be preferred over the approximate Log-Hilbert-Schmidt inner product and, computationally, it should be preferred over the approximate affine-invariant Riemannian distance. Numerical experiments on image classification demonstrate significant improvements of the infinite-dimensional formulation over the finite-dimensional counterpart. Given the numerous applications of covariance matrices in many areas of mathematics, statistics, and machine learning, just to name a few, we expect that the infinite-dimensional covariance operator formulation presented here will have many more applications beyond those in computer vision.
Download or read book Symmetry in Vision written by Marco Bertamini and published by MDPI. This book was released on 2018-07-09 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Symmetry in Vision" that was published in Symmetry
Download or read book The Oxford Compendium of Visual Illusions written by Arthur Gilman Shapiro and published by Oxford University Press. This book was released on 2017 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual illusions are compelling phenomena that draw attention to the brain's capacity to construct our perceptual world. The Compendium is a collection of over 100 chapters on visual illusions, written by the illusion creators or by vision scientists who have investigated mechanisms underlying the phenomena. --
