Data Science And Visual Computing

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Data Science and Visual Computing

Author : Rae Earnshaw
Publisher : Springer Nature
ISBN 13 : 3030243672
Total Pages : 108 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Data Science and Visual Computing by : Rae Earnshaw

Download or read book Data Science and Visual Computing written by Rae Earnshaw and published by Springer Nature. This book was released on 2019-08-30 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities. The range and volume of data sources has increased enormously over time, particularly those generating real-time data. This has posed additional challenges for data management and data analysis of the data and effective representation and display. A wide range of application areas are able to benefit from the latest visual tools and facilities. Rapid analysis is needed in areas where immediate decisions need to be made. Such areas include weather forecasting, the stock exchange, and security threats. In areas where the volume of data being produced far exceeds the current capacity to analyze all of it, attention is being focussed how best to address these challenges. Optimum ways of addressing large data sets across a variety of disciplines have led to the formation of national and institutional Data Science Institutes and Centers. Being driven by national priority, they are able to attract support for research and development within their organizations and institutions to bring together interdisciplinary expertise to address a wide variety of problems. Visual computing is a set of tools and methodologies that utilize 2D and 3D images to extract information from data. Such methods include data analysis, simulation, and interactive exploration. These are analyzed and discussed.

Introduction to Visual Computing

Author : Aditi Majumder
Publisher : CRC Press
ISBN 13 : 1482244926
Total Pages : 376 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Introduction to Visual Computing by : Aditi Majumder

Download or read book Introduction to Visual Computing written by Aditi Majumder and published by CRC Press. This book was released on 2018-01-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline. The book is organized in four parts. The first part provides an exposure to different kinds of visual data (e.g. 2D images, videos and 3D geometry) and the core mathematical techniques that are required for their processing (e.g. interpolation and linear regression.) The second part of the book on Image Based Visual Computing deals with several fundamental techniques to process 2D images (e.g. convolution, spectral analysis and feature detection) and corresponds to the low level retinal image processing that happens in the eye in the human visual system pathway. The next part of the book on Geometric Visual Computing deals with the fundamental techniques used to combine the geometric information from multiple eyes creating a 3D interpretation of the object and world around us (e.g. transformations, projective and epipolar geometry, and 3D reconstruction). This corresponds to the higher level processing that happens in the brain combining information from both the eyes thereby helping us to navigate through the 3D world around us. The last two parts of the book cover Radiometric Visual Computing and Visual Content Synthesis. These parts focus on the fundamental techniques for processing information arising from the interaction of light with objects around us, as well as the fundamentals of creating virtual computer generated worlds that mimic all the processing presented in the prior sections. The book is written for a 16 week long semester course and can be used for both undergraduate and graduate teaching, as well as a reference for professionals.

Convolutional Neural Networks in Visual Computing

Author : Ragav Venkatesan
Publisher : CRC Press
ISBN 13 : 1351650327
Total Pages : 204 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Convolutional Neural Networks in Visual Computing by : Ragav Venkatesan

Download or read book Convolutional Neural Networks in Visual Computing written by Ragav Venkatesan and published by CRC Press. This book was released on 2017-10-23 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.

Image Statistics in Visual Computing

Author : Tania Pouli
Publisher : CRC Press
ISBN 13 : 1439874905
Total Pages : 360 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Image Statistics in Visual Computing by : Tania Pouli

Download or read book Image Statistics in Visual Computing written by Tania Pouli and published by CRC Press. This book was released on 2013-12-13 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: To achieve the complex task of interpreting what we see, our brains rely on statistical regularities and patterns in visual data. Knowledge of these regularities can also be considerably useful in visual computing disciplines, such as computer vision, computer graphics, and image processing. The field of natural image statistics studies the regular

Visual Computing for Medicine

Author : Bernhard Preim
Publisher : Newnes
ISBN 13 : 0124159796
Total Pages : 836 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Visual Computing for Medicine by : Bernhard Preim

Download or read book Visual Computing for Medicine written by Bernhard Preim and published by Newnes. This book was released on 2013-11-07 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field. Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field Illustrated in full color Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more

Deep Learning in Visual Computing

Author : Hassan Ugail
Publisher : CRC Press
ISBN 13 : 1000625451
Total Pages : 144 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Deep Learning in Visual Computing by : Hassan Ugail

Download or read book Deep Learning in Visual Computing written by Hassan Ugail and published by CRC Press. This book was released on 2022-07-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.

Deep Learning in Visual Computing and Signal Processing

Author : Krishna Kant Singh
Publisher : CRC Press
ISBN 13 : 1000565238
Total Pages : 289 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Deep Learning in Visual Computing and Signal Processing by : Krishna Kant Singh

Download or read book Deep Learning in Visual Computing and Signal Processing written by Krishna Kant Singh and published by CRC Press. This book was released on 2022-10-20 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers both the fundamentals and the latest concepts in deep learning Presents some of the diverse applications of deep learning in visual computing and signal processing Includes over 90 figures and tables to elucidate the text

Innovative Approaches of Data Visualization and Visual Analytics

Author : Huang, Mao Lin
Publisher : IGI Global
ISBN 13 : 1466643102
Total Pages : 464 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Innovative Approaches of Data Visualization and Visual Analytics by : Huang, Mao Lin

Download or read book Innovative Approaches of Data Visualization and Visual Analytics written by Huang, Mao Lin and published by IGI Global. This book was released on 2013-07-31 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.

Foundations of Data Science

Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Foundations of Data Science by : Avrim Blum

Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Advances in Visual Computing

Author : George Bebis
Publisher : Springer Nature
ISBN 13 : 3030337235
Total Pages : 590 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Visual Computing by : George Bebis

Download or read book Advances in Visual Computing written by George Bebis and published by Springer Nature. This book was released on 2019-10-25 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.

Introduction to Information Visualization

Author : Gerald Benoit
Publisher : Rowman & Littlefield
ISBN 13 : 1538125099
Total Pages : 225 pages
Book Rating : 4.5/5 (381 download)

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Book Synopsis Introduction to Information Visualization by : Gerald Benoit

Download or read book Introduction to Information Visualization written by Gerald Benoit and published by Rowman & Littlefield. This book was released on 2019-02-08 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information. Applying information visualization in research, service, teaching, and professional life requires a solid understanding of graphic design and the aesthetic along with hands-on skills and knowledge of data principles and software. This book is applicable to students in all domains, to researchers who need to understand how to create graphics that explain their data, and to professionals and administrators for professional development training. Website Designers and Human-Computer Interaction researchers will appreciate the backstory of designing interactive visualizations for the web. Drawing on the author’s years of practice and teaching, it bridges the two worlds in ways everyone can participate in the future of information and to appreciate the beautiful in information: Step-by-step directions in the fundamentals of HTML5, CSS, and d3.js Design challenges with fully explained answers Web-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros Useful for teaching design to scientists; data to the humanities Guidance for using the text depending on the class makeup Review of third-party visualization software, big data trends, and script libraries Guidance on how to continue in the IV world after graduation This full-color book features graphics and a companion Web site. The online companion site hosts living examples, updates, and errata. You’re invited to participate on the site, too, sharing your questions, solutions, and ideas. For most readings, there is a partner design lab. At the conclusion of the course, there is a complete interactive information visualization service documentation for libraries.

Data Science and Its Applications

Author : Aakanksha Sharaff
Publisher : CRC Press
ISBN 13 : 1000414000
Total Pages : 443 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data Science and Its Applications by : Aakanksha Sharaff

Download or read book Data Science and Its Applications written by Aakanksha Sharaff and published by CRC Press. This book was released on 2021-08-18 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.

Data Visualization

Author : Alexandru C. Telea
Publisher : CRC Press
ISBN 13 : 1466585277
Total Pages : 618 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Data Visualization by : Alexandru C. Telea

Download or read book Data Visualization written by Alexandru C. Telea and published by CRC Press. This book was released on 2014-09-18 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration wi

Advances in Visual Computing

Author : George Bebis
Publisher : Springer Nature
ISBN 13 : 3030904369
Total Pages : 555 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advances in Visual Computing by : George Bebis

Download or read book Advances in Visual Computing written by George Bebis and published by Springer Nature. This book was released on 2021-12-02 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNCS 13017 and 13018 constitutes the refereed proceedings of the 16th International Symposium on Visual Computing, ISVC 2021, which was held in October 2021. The symposium took place virtually instead due to the COVID-19 pandemic. The 48 papers presented in these volumes were carefully reviewed and selected from 135 submissions. The papers are organized into the following topical sections: Part I: deep learning; computer graphics; segmentation; visualization; applications; 3D vision; virtual reality; motion and tracking; object detection and recognition. Part II: ST: medical image analysis; pattern recognition; video analysis and event recognition; posters.

Big Data and Visual Analytics

Author : Sang C. Suh
Publisher : Springer
ISBN 13 : 331963917X
Total Pages : 263 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Big Data and Visual Analytics by : Sang C. Suh

Download or read book Big Data and Visual Analytics written by Sang C. Suh and published by Springer. This book was released on 2018-01-15 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Interactive Visual Data Analysis

Author : Christian Tominski
Publisher : CRC Press
ISBN 13 : 149875399X
Total Pages : 365 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Interactive Visual Data Analysis by : Christian Tominski

Download or read book Interactive Visual Data Analysis written by Christian Tominski and published by CRC Press. This book was released on 2020-04-01 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on comprehensive taxonomies for both data and tasks Considers three challenging problems: incremental visualization, visual design and guidance Systematically investigates the visualization of multi-faceted data and networks A comprehensive overview on interaction is provided Visualization approaches in innovative display environments (large high-resolution displays, smart environments) are discussed