Information visualization

From facial recognition to self-driving cars, the applications of computer vision are vast and ever-expanding.

This volume does much more than survey modern advanced color processing.

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques.

This book addresses an important gap in data analytics education: the interplay between complex query-making and storytelling.

Since The Theory of the Moire Phenomenon was published it became the main reference book in its field.

In the 20th century philosophy of mathematics has to a great extent been dominated by views developed during the so-called foundational crisis in the beginning of that century.

Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data?

COMPREHENSIVE COVERAGE OF SHADERS, THE PROGRAMMABLE PIPELINE AND WEBGLFrom geometric primitives to animation to 3D modeling to lighting, shading and texturing, Computer Graphics Through OpenGL(R): From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts.

COMPREHENSIVE COVERAGE OF SHADERS, THE PROGRAMMABLE PIPELINE AND WEBGLFrom geometric primitives to animation to 3D modeling to lighting, shading and texturing, Computer Graphics Through OpenGL(R): From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts.

Developing Graphics Frameworks with Java and OpenGL shows you how to create software for rendering complete three-dimensional (3D) scenes.

Developing Graphics Frameworks with Java and OpenGL shows you how to create software for rendering complete three-dimensional (3D) scenes.

Asynchronous On-Chip Networks and Fault-Tolerant Techniques is the first comprehensive study of fault-tolerance and fault-caused deadlock effects in asynchronous on-chip networks, aiming to overcome these drawbacks and ensure greater reliability of applications.

Asynchronous On-Chip Networks and Fault-Tolerant Techniques is the first comprehensive study of fault-tolerance and fault-caused deadlock effects in asynchronous on-chip networks, aiming to overcome these drawbacks and ensure greater reliability of applications.

Since Benoit Mandelbrot's pioneering work in the late 1970s, scores of research articles and books have been published on the topic of fractals.

Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods.

Shapes have been among man's fascinations from thestoneage to thespace age.

This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R.

The Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking Reviews hardware implementation of watermarking Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired algorithms Includes a case study along with its MATLAB code and simulation results

The Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking Reviews hardware implementation of watermarking Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired algorithms Includes a case study along with its MATLAB code and simulation results

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There has been dramatic growth in the development and application of Bayesian inference in statistics.

R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry.

This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images.

This book is an example-based introduction to techniques, from elementary to advanced, of using Mathematica, a revolutionary tool for mathematical computation and exploration.

There can be no question, my dear Watson, of the value of exercise before breakfast.

This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods.

There has been dramatic growth in the development and application of Bayesian inference in statistics.

The breakthrough idea of parallel coordinates has enchanted many people with its cleverness and power.

Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets.

Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day?

Preface to First Edition Before writing the graphics for SYSTAT in the 1980's, I began by teaching a seminar in statistical graphics and collecting as many different quantitative graphics as I could find.

This image-rich book explores the practice as well as the theory of visual representation and presents us with the importance of designing appropriate images for communication to specific target audiences.

As an introduction to programming for the Digital Humanities (DH), this book presents six key assignments oriented on DH topics.

This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics.

This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics.