Computational Proximity

Computational Proximity
Author: James F. Peters
Publisher: Springer
Total Pages: 450
Release: 2016-04-20
Genre: Technology & Engineering
ISBN: 3319302620

This book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other or far apart. Typically in computational proximity, the book starts with some form of proximity space (topological space equipped with a proximity relation) that has an inherent geometry. In CP, two types of near sets are considered, namely, spatially near sets and descriptivelynear sets. It is shown that connectedness, boundedness, mesh nerves, convexity, shapes and shape theory are principal topics in the study of nearness and separation of physical aswell as abstract sets. CP has a hefty visual content. Applications of CP in computer vision, multimedia, brain activity, biology, social networks, and cosmology are included. The book has been derived from the lectures of the author in a graduate course on the topology of digital images taught over the past several years. Many of the students have provided important insights and valuable suggestions. The topics in this monograph introduce many forms of proximities with a computational flavour (especially, what has become known as the strong contact relation), many nuances of topological spaces, and point-free geometry.

Computational Proximity

Computational Proximity
Author: James F. Peters
Publisher: Springer
Total Pages: 0
Release: 2016-04-29
Genre: Technology & Engineering
ISBN: 9783319302607

This book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other or far apart. Typically in computational proximity, the book starts with some form of proximity space (topological space equipped with a proximity relation) that has an inherent geometry. In CP, two types of near sets are considered, namely, spatially near sets and descriptivelynear sets. It is shown that connectedness, boundedness, mesh nerves, convexity, shapes and shape theory are principal topics in the study of nearness and separation of physical aswell as abstract sets. CP has a hefty visual content. Applications of CP in computer vision, multimedia, brain activity, biology, social networks, and cosmology are included. The book has been derived from the lectures of the author in a graduate course on the topology of digital images taught over the past several years. Many of the students have provided important insights and valuable suggestions. The topics in this monograph introduce many forms of proximities with a computational flavour (especially, what has become known as the strong contact relation), many nuances of topological spaces, and point-free geometry.

Computational Diffusion MRI

Computational Diffusion MRI
Author: Suheyla Cetin-Karayumak
Publisher: Springer Nature
Total Pages: 174
Release: 2021-09-25
Genre: Computers
ISBN: 3030876152

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021. The papers were organized in topical sections as follows: acquisition; microstructure modelling; tractography and connectivity; applications and visualization; DiSCo challenge – invited contribution.

Computational Geometry, Topology and Physics of Digital Images with Applications

Computational Geometry, Topology and Physics of Digital Images with Applications
Author: James F. Peters
Publisher: Springer Nature
Total Pages: 455
Release: 2019-10-03
Genre: Technology & Engineering
ISBN: 303022192X

This book discusses the computational geometry, topology and physics of digital images and video frame sequences. This trio of computational approaches encompasses the study of shape complexes, optical vortex nerves and proximities embedded in triangulated video frames and single images, while computational geometry focuses on the geometric structures that infuse triangulated visual scenes. The book first addresses the topology of cellular complexes to provide a basis for an introductory study of the computational topology of visual scenes, exploring the fabric, shapes and structures typically found in visual scenes. The book then examines the inherent geometry and topology of visual scenes, and the fine structure of light and light caustics of visual scenes, which bring into play catastrophe theory and the appearance of light caustic folds and cusps. Following on from this, the book introduces optical vortex nerves in triangulated digital images. In this context, computational physics is synonymous with the study of the fine structure of light choreographed in video frames. This choreography appears as a sequence of snapshots of light reflected and refracted from surface shapes, providing a solid foundation for detecting, analyzing and classifying visual scene shapes.

Computational Intelligence in Pattern Recognition

Computational Intelligence in Pattern Recognition
Author: Asit Kumar Das
Publisher: Springer
Total Pages: 1023
Release: 2019-08-17
Genre: Technology & Engineering
ISBN: 9811390428

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Advances in Computational Intelligence

Advances in Computational Intelligence
Author: Lourdes Martínez-Villaseñor
Publisher: Springer Nature
Total Pages: 504
Release: 2020-10-07
Genre: Computers
ISBN: 3030608875

The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.

Handbook of Proximity Relations

Handbook of Proximity Relations
Author: Torre, André
Publisher: Edward Elgar Publishing
Total Pages: 496
Release: 2022-01-18
Genre: Social Science
ISBN: 1786434784

This Handbook is a state-of-the-art analysis of proximity relations, offering insights into its history alongside up-to-date scientific advances and emerging questions. Its broad scope – from industrial and innovation approaches through to society issues of living and working at a distance, territorial development and environmental topics – will ensure an in-depth focus point for researchers in economics as well as geography, organizational studies, planning and sociology.

Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models

Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models
Author: Darwish, Dina
Publisher: IGI Global
Total Pages: 494
Release: 2024-01-25
Genre: Computers
ISBN:

Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.

WALCOM: Algorithms and Computation

WALCOM: Algorithms and Computation
Author: Shin-ichi Nakano
Publisher: Springer Science & Business Media
Total Pages: 251
Release: 2008-01-23
Genre: Computers
ISBN: 354077890X

This book constitutes the refereed proceedings of the Second International Workshop on Algorithms and Computation, WALCOM 2008. It covers bioinformatics algorithms, computational geometry and graph drawing, graph algorithms, and algorithm engineering.

Handbook of Discrete and Computational Geometry

Handbook of Discrete and Computational Geometry
Author: Csaba D. Toth
Publisher: CRC Press
Total Pages: 2354
Release: 2017-11-22
Genre: Computers
ISBN: 1351645919

The Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as specialists, covering all major aspects of both fields. The book offers the most important results and methods in discrete and computational geometry to those who use them in their work, both in the academic world—as researchers in mathematics and computer science—and in the professional world—as practitioners in fields as diverse as operations research, molecular biology, and robotics. Discrete geometry has contributed significantly to the growth of discrete mathematics in recent years. This has been fueled partly by the advent of powerful computers and by the recent explosion of activity in the relatively young field of computational geometry. This synthesis between discrete and computational geometry lies at the heart of this Handbook. A growing list of application fields includes combinatorial optimization, computer-aided design, computer graphics, crystallography, data analysis, error-correcting codes, geographic information systems, motion planning, operations research, pattern recognition, robotics, solid modeling, and tomography.