Colored Discrete Spaces

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Colored Discrete Spaces

Author : Luca Lionni
Publisher : Springer
ISBN 13 : 3319960237
Total Pages : 233 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Colored Discrete Spaces by : Luca Lionni

Download or read book Colored Discrete Spaces written by Luca Lionni and published by Springer. This book was released on 2018-08-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a number of combinatorial tools that allow a systematic study of very general discrete spaces involved in the context of discrete quantum gravity. In any dimension D, we can discretize Euclidean gravity in the absence of matter over random discrete spaces obtained by gluing families of polytopes together in all possible ways. These spaces are then classified according to their curvature. In D=2, it results in a theory of random discrete spheres, which converge in the continuum limit towards the Brownian sphere, a random fractal space interpreted as a quantum random space-time. In this limit, the continuous Liouville theory of D=2 quantum gravity is recovered. Previous results in higher dimension regarded triangulations, converging towards a continuum random tree, or gluings of simple building blocks of small sizes, for which multi-trace matrix model results are recovered in any even dimension. In this book, the author develops a bijection with stacked two-dimensional discrete surfaces for the most general colored building blocks, and details how it can be used to classify colored discrete spaces according to their curvature. The way in which this combinatorial problem arrises in discrete quantum gravity and random tensor models is discussed in detail.

The Structure and Properties of Color Spaces and the Representation of Color Images

Author : Eric Dubois
Publisher : Springer Nature
ISBN 13 : 3031022467
Total Pages : 111 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Structure and Properties of Color Spaces and the Representation of Color Images by : Eric Dubois

Download or read book The Structure and Properties of Color Spaces and the Representation of Color Images written by Eric Dubois and published by Springer Nature. This book was released on 2022-05-31 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered to be functions of a continuous wavelength variable. This leads into the formulation of color space as a three-dimensional vector space, with all the associated structure. The approach is to start with the axioms of color matching for normal human viewers, often called Grassmann's laws, and developing the resulting vector space formulation. However, once the essential defining element of this vector space is identified, it can be extended to other color spaces, perhaps for different creatures and devices, and dimensions other than three. The CIE spaces are presented as main examples of color spaces. Many properties of the color space are examined. Once the vector space formulation is established, various useful decompositions of the space can be established. The first such decomposition is based on luminance, a measure of the relative brightness of a color. This leads to a direct-sum decomposition of color space where a two-dimensional subspace identifies the chromatic attribute, and a third coordinate provides the luminance. A different decomposition involving a projective space of chromaticity classes is then presented. Finally, it is shown how the three types of color deficiencies present in some groups of humans leads to a direct-sum decomposition of three one-dimensional subspaces that are associated with the three types of cone photoreceptors in the human retina. Next, a few specific linear and nonlinear color representations are presented. The color spaces of two digital cameras are also described. Then the issue of transformations between different color spaces is addressed. Finally, these ideas are applied to signal and system theory for color images. This is done using a vector signal approach where a general linear system is represented by a three-by-three system matrix. The formulation is applied to both continuous and discrete space images, and specific problems in color filter array sampling and displays are presented for illustration. The book is mainly targeted to researchers and graduate students in fields of signal processing related to any aspect of color imaging.

R Graphics Cookbook

Author : Winston Chang
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449316956
Total Pages : 414 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis R Graphics Cookbook by : Winston Chang

Download or read book R Graphics Cookbook written by Winston Chang and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical recipes for visualizing data"--Cover.

Multidimensional Signal and Color Image Processing Using Lattices

Author : Eric Dubois
Publisher : John Wiley & Sons
ISBN 13 : 1119111757
Total Pages : 367 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Multidimensional Signal and Color Image Processing Using Lattices by : Eric Dubois

Download or read book Multidimensional Signal and Color Image Processing Using Lattices written by Eric Dubois and published by John Wiley & Sons. This book was released on 2019-03-12 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Innovative Approach to Multidimensional Signals and Systems Theory for Image and Video Processing In this volume, Eric Dubois further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the reader to crucial concepts in signal processing such as continuous- and discrete-domain signals and systems, discrete-domain periodic signals, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized representations for non-rectangular sampling, this approach obscures much of the geometrical and scale information of the signal. In contrast, Dr. Dubois uses actual units of space-time and frequency. Basis-independent representations appear as much as possible, and the basis is introduced where needed to perform calculations or implementations. Thus, lattice theory is developed from the beginning and rectangular sampling is treated as a special case. This is especially significant in the treatment of color and color image processing and for discrete transform representations based on symmetry groups, including fast computational algorithms. Other features include: An entire chapter on lattices, giving the reader a thorough grounding in the use of lattices in signal processing Extensive treatment of lattices as used to describe discrete-domain signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and multidimensional Fourier transformation properties Supplemented throughout with MATLAB examples and accompanying downloadable source code Graduate and doctoral students as well as senior undergraduates and professionals working in signal processing or video/image processing and imaging will appreciate this fresh approach to multidimensional signals and systems theory, both as a thorough introduction to the subject and as inspiration for future research.

The Oxford Handbook of Human Memory, Two Volume Pack

Author : Michael J. Kahana
Publisher : Oxford University Press
ISBN 13 : 0197746144
Total Pages : 2426 pages
Book Rating : 4.1/5 (977 download)

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Book Synopsis The Oxford Handbook of Human Memory, Two Volume Pack by : Michael J. Kahana

Download or read book The Oxford Handbook of Human Memory, Two Volume Pack written by Michael J. Kahana and published by Oxford University Press. This book was released on 2024-04-26 with total page 2426 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Human Memory provides an authoritative overview of the science of human memory, its application to clinical disorders, and its broader implications for learning and memory in real-world contexts. Organized into two volumes and eleven sections, the Handbook integrates behavioral, neural, and computational evidence with current theories of how we learn and remember. Overall, The Oxford Handbook of Human Memory documents the current state of knowledge in the field and provides a roadmap for the next generation of memory scientists, established peers, and practitioners.

Digital Color Imaging

Author : Christine Fernandez-Maloigne
Publisher : John Wiley & Sons
ISBN 13 : 1118614267
Total Pages : 238 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Digital Color Imaging by : Christine Fernandez-Maloigne

Download or read book Digital Color Imaging written by Christine Fernandez-Maloigne and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collective work identifies the latest developments in the field of the automatic processing and analysis of digital color images. For researchers and students, it represents a critical state of the art on the scientific issues raised by the various steps constituting the chain of color image processing. It covers a wide range of topics related to computational color imaging, including color filtering and segmentation, color texture characterization, color invariant for object recognition, color and motion analysis, as well as color image and video indexing and retrieval. Contents 1. Color Representation and Processing in Polar Color Spaces, Jesús Angulo, Sébastien Lefèvre and Olivier Lezoray. 2. Adaptive Median Color Filtering, Frédérique Robert-Inacio and Eric Dinet. 3. Anisotropic Diffusion PDEs for Regularization of Multichannel Images: Formalisms and Applications, David Tschumperlé. 4. Linear Prediction in Spaces with Separate Achromatic and Chromatic Information,Olivier Alata, Imtnan Qazi, Jean-Christophe Burie and Christine Fernandez-Maloigne. 5. Region Segmentation, Alain Clément, Laurent Busin, Olivier Lezoray and Ludovic Macaire. 6. Color Texture Attributes, Nicolas Vandenbroucke, Olivier Alata, Christèle Lecomte, Alice Porebski and Imtnan Qazi. 7. Photometric Color Invariants for Object Recognition, Damien Muselet. 8. Color Key Point Detectors and Local Color Descriptors, Damien Muselet and Xiaohu Song. 9. Motion Estimation in Color Image Sequences, Bertrand Augereau and Jenny Benois-Pineau.

The Palgrave Handbook of Operations Research

Author : Saïd Salhi
Publisher : Springer Nature
ISBN 13 : 3030969355
Total Pages : 923 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis The Palgrave Handbook of Operations Research by : Saïd Salhi

Download or read book The Palgrave Handbook of Operations Research written by Saïd Salhi and published by Springer Nature. This book was released on 2022-07-07 with total page 923 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. This handbook provides a comprehensive and cutting edge collection of studies in the area. Views differ on what should be included within the scope of OR. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both ‘softer’ and ‘harder’ perspectives and need consideration of both predictive and prescriptive problems. In accordance with this inclusive approach to OR, the book is divided into six parts, covering Discrete Optimization, Continuous Optimization, Heuristic Search Optimization, Forecasting, Simulation and Prediction, Problem Structuring and Behavioural OR, and finally some recent OR Applications. This wide-ranging handbook includes a culturally diverse collection of authors, with different perspectives and backgrounds around Operations Research. It will be of tremendous value to researchers, students and practitioners in the field of OR

Problem Solving

Author : Zygmunt Pizlo
Publisher : Cambridge University Press
ISBN 13 : 1009205587
Total Pages : 209 pages
Book Rating : 4.0/5 (92 download)

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Book Synopsis Problem Solving by : Zygmunt Pizlo

Download or read book Problem Solving written by Zygmunt Pizlo and published by Cambridge University Press. This book was released on 2022-07-07 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has steadily grown over time. Researchers in Artificial Intelligence have been formulating theories of problem solving for the last 70 years. Psychologists, on the other hand, have focused their efforts on documenting the observed behavior of subjects solving problems. This book represents the first effort to merge the behavioral results of human subjects with formal models of the causative cognitive mechanisms. The first coursebook to deal exclusively with the topic, it provides a main text for elective courses and a supplementary text for courses such as cognitive psychology and neuroscience.

Lavish Lace

Author : Carol Rasmussen Noble
Publisher : Martingale
ISBN 13 : 1604683929
Total Pages : 202 pages
Book Rating : 4.6/5 (46 download)

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Book Synopsis Lavish Lace by : Carol Rasmussen Noble

Download or read book Lavish Lace written by Carol Rasmussen Noble and published by Martingale. This book was released on 2014-02-11 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does lace have to be knit on size 0 needles and take years to complete? No! Let this primer on knitted lace put any worries to rest. Go from a skein of fiber to a fantastic finished piece with this unique approach. Simple techniques, helpful hints, and an extraordinary palette of colorways will inspire you to play with the possibilities of hand-painted yarns. Create over a dozen scarves and shawls that guarantee no hassles with fitting or shaping--one size fits all Have fun with an incredible variety of exotic textures, colors, and fibers Catch on to techniques quickly with a bounty of specialized tips for patterns from beginning to advanced

Computer Graphics and Mathematics

Author : Bianca Falcidieno
Publisher : Springer Science & Business Media
ISBN 13 : 3642775861
Total Pages : 317 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Computer Graphics and Mathematics by : Bianca Falcidieno

Download or read book Computer Graphics and Mathematics written by Bianca Falcidieno and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its very existence as a separate field within computer science, computer graphics had to make extensive use of non-trivial mathematics, for example, projective geometry, solid modelling, and approximation theory. This interplay of mathematics and computer science is exciting, but also makes it difficult for students and researchers to assimilate or maintain a view of the necessary mathematics. The possibilities offered by an interdisciplinary approach are still not fully utilized. This book gives a selection of contributions to a workshop held near Genoa, Italy, in October 1991, where a group of mathematicians and computer scientists gathered to explore ways of extending the cooperation between mathematics and computer graphics.

Control of Color Imaging Systems

Author : Lalit K. Mestha
Publisher : CRC Press
ISBN 13 : 1420019430
Total Pages : 698 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Control of Color Imaging Systems by : Lalit K. Mestha

Download or read book Control of Color Imaging Systems written by Lalit K. Mestha and published by CRC Press. This book was released on 2018-10-03 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Complete One-Stop Resource While digital color is now the technology of choice for printers, the knowledge required to address the quality and productivity issues of these devices is scattered across several technologies, as is its supporting literature. Bringing together information from diverse fields, Control of Color Imaging Systems: Analysis and Design is the first book to provide comprehensive coverage of the fundamentals and algorithms of the numerous disciplines associated with digital color printing in a single resource. The authors review the history of digital printing systems, explore its current status, and explain fundamental concepts, including: digital image formation, sampling, quantization, image coding, spot color calibration, and one- and multi-dimensional tone control of color management systems — including process physics and controls. A Complete Self-Tutorial With Over 150 Design Examples and 120 Exercise Problems Based on the authors’ three decades of hands-on technical and teaching experience, the text provides engineers and technicians with an end-to-end understanding of the color printing process, and helps them build a foundation drawn from the diverse disciplines needed to manage and control digital production printers. The control theory and methods presented in this book are state-of-the art for color printing systems; however, coverage of theoretical concepts and mathematics are kept to the basics, as the book is designed to teach hand’s on skills that will allow practitioners to gain an immediate understanding of quality and productivity concerns. The understanding provided will help practitioners build the technical skills needed to help pioneer the next generation of ideas, algorithms, and methods that will further expand the frontier of this rapidly evolving technology.

Medical Image Processing, Reconstruction and Analysis

Author : Jiri Jan
Publisher : CRC Press
ISBN 13 : 135138791X
Total Pages : 599 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Medical Image Processing, Reconstruction and Analysis by : Jiri Jan

Download or read book Medical Image Processing, Reconstruction and Analysis written by Jiri Jan and published by CRC Press. This book was released on 2019-08-30 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data

Introduction to Bayesian Tracking and Particle Filters

Author : Lawrence D. Stone
Publisher : Springer Nature
ISBN 13 : 3031322428
Total Pages : 124 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Introduction to Bayesian Tracking and Particle Filters by : Lawrence D. Stone

Download or read book Introduction to Bayesian Tracking and Particle Filters written by Lawrence D. Stone and published by Springer Nature. This book was released on 2023-05-31 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.

Digital Color Image Processing

Author : Andreas Koschan
Publisher : John Wiley & Sons
ISBN 13 : 0470230355
Total Pages : 392 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Digital Color Image Processing by : Andreas Koschan

Download or read book Digital Color Image Processing written by Andreas Koschan and published by John Wiley & Sons. This book was released on 2008-02-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

Ramsey Theory

Author : Alexander Soifer
Publisher : Springer Science & Business Media
ISBN 13 : 0817680926
Total Pages : 199 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Ramsey Theory by : Alexander Soifer

Download or read book Ramsey Theory written by Alexander Soifer and published by Springer Science & Business Media. This book was released on 2010-10-29 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the theory’s history, recent developments, and some promising future directions through invited surveys written by prominent researchers in the field. The first three surveys provide historical background on the subject; the last three address Euclidean Ramsey theory and related coloring problems. In addition, open problems posed throughout the volume and in the concluding open problem chapter will appeal to graduate students and mathematicians alike.

Theoretical and Applied Aspects of Systems Biology

Author : Fabricio Alves Barbosa da Silva
Publisher : Springer
ISBN 13 : 3319749749
Total Pages : 269 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Theoretical and Applied Aspects of Systems Biology by : Fabricio Alves Barbosa da Silva

Download or read book Theoretical and Applied Aspects of Systems Biology written by Fabricio Alves Barbosa da Silva and published by Springer. This book was released on 2018-06-21 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the theoretical foundations of Systems Biology, as well as its application in studies on human hosts, pathogens and associated diseases. This book presents several chapters written by renowned experts in the field. Some topics discussed in depth in this book include: computational modeling of multiresistant bacteria, systems biology of cancer, systems immunology, networks in systems biology.

Deep Generative Modeling

Author : Jakub M. Tomczak
Publisher : Springer Nature
ISBN 13 : 3030931587
Total Pages : 210 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Deep Generative Modeling by : Jakub M. Tomczak

Download or read book Deep Generative Modeling written by Jakub M. Tomczak and published by Springer Nature. This book was released on 2022-02-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning. The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order. The adjective "deep" comes from the fact that the distribution is parameterized using deep neural networks. There are two distinct traits of deep generative modeling. First, the application of deep neural networks allows rich and flexible parameterization of distributions. Second, the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning. Moreover, probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions. Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics in machine learning, deep learning, and programming in Python and PyTorch (or other deep learning libraries). It will appeal to students and researchers from a variety of backgrounds, including computer science, engineering, data science, physics, and bioinformatics, who wish to become familiar with deep generative modeling. To engage the reader, the book introduces fundamental concepts with specific examples and code snippets. The full code accompanying the book is available on github. The ultimate aim of the book is to outline the most important techniques in deep generative modeling and, eventually, enable readers to formulate new models and implement them.