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Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software, Hotz Ingrid, Bin Masood Talha, Sadlo Filip


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Автор: Hotz Ingrid, Bin Masood Talha, Sadlo Filip
Название:  Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software
ISBN: 9783030834999
Издательство: Springer
Классификация:






ISBN-10: 3030834999
Обложка/Формат: Hardcover
Страницы: 351
Вес: 0.72 кг.
Дата издания: 01.10.2021
Язык: English
Размер: 23.39 x 15.60 x 2.24 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание:

Scalar Field Topology-Algorithms and Applications.- W-Structures in Contour Trees.- Treemap Based Exploration of Merge Trees.- Notes on Percolation Analysis of Sampled Scalar Fields.- Distributed Task-Parallel Topology-Controlled Volume Rendering.- Topology-Based Tracking of Multi-Center Cyclones.- Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes.- Topological Methods in Complex Fields-Flow Fields, Tensor Fields, and Multi-fields.- Objective Finite-Time Flow Topology from Flowmap Expansion and Contraction.- Coreline Criteria for Inertial Particle Motion.- Implicit Visualization of 2D Vector Field Topology for Periodic Orbit Detection.- Visually Evaluating Topological Equivalence of Bounded Bivariate Fields.- Topological Feature Search in Time-Varying Multifield Data.- Tensor Fields for Data Extraction from Chart Images: Bar Charts, Histograms, and Scatter Plots.- Topology for Geometric Data.- A Fast Approximate Skeleton with Guarantees for Any Cloud of Points in a Euclidean Space.- Topologically Robust B-Spline Reconstruction of Fibers from 3D Images.- Introduction to Vector Field Topology.- An Overview of the Topology ToolKit.- Implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit.- TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives.





Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Автор: Martin Kleppmann
Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
ISBN: 1449373321 ISBN-13(EAN): 9781449373320
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.

Topological Methods in Data Analysis and Visualization

Автор: Pascucci
Название: Topological Methods in Data Analysis and Visualization
ISBN: 3642150136 ISBN-13(EAN): 9783642150135
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on Topological Methods in Data Analysis and Visualization , held 2009 in Snowbird, Utah, US. The 2009 TopoInVis workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany).

Topological Methods in Data Analysis and Visualization IV

Автор: Hamish Carr; Christoph Garth; Tino Weinkauf
Название: Topological Methods in Data Analysis and Visualization IV
ISBN: 3319831100 ISBN-13(EAN): 9783319831107
Издательство: Springer
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Цена: 23757.00 р.
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Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications

Автор: Carr Hamish, Fujishiro Issei, Sadlo Filip
Название: Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications
ISBN: 3030430359 ISBN-13(EAN): 9783030430351
Издательство: Springer
Цена: 25155.00 р.
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Описание: This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work.

Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications

Автор: Pascucci Valerio, Tricoche Xavier, Hagen Hans
Название: Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications
ISBN: 3662506041 ISBN-13(EAN): 9783662506042
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on "Topological Methods in Data Analysis and Visualization", held 2009 in Utah, US. It offers an important contribution to the field.

Topological Methods in Data Analysis and Visualization III

Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R
Название: Topological Methods in Data Analysis and Visualization III
ISBN: 3319381652 ISBN-13(EAN): 9783319381657
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.

Topological Methods in Data Analysis and Visualization III

Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R
Название: Topological Methods in Data Analysis and Visualization III
ISBN: 3319040987 ISBN-13(EAN): 9783319040981
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.

Topological Data Analysis for Scientific Visualization

Автор: Tierny Julien
Название: Topological Data Analysis for Scientific Visualization
ISBN: 3319715062 ISBN-13(EAN): 9783319715063
Издательство: Springer
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Цена: 19564.00 р.
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Описание: 1. Introduction.- 2. Background: 2.1 Data representation.- 2.2 Topological abstractions.- 2.3 Algorithms and applications.- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields.- 3.2 Efficient Reeb graph computation for volumetric meshes.- 4. Interaction: 4.1 Topological simplification of isosurfaces.- 4.2 Interactive editing of topological abstractions.- 5. Analysis: 5.1 Exploration of turbulent combustion simulations.- 5.2 Quantitative analysis of molecular interactions.- 6. Perspectives: 6.1 Emerging constraints.- 6.2 Emerging data types.- 7. Conclusion.

Topological Data Analysis for Scientific Visualization

Автор: Tierny Julien
Название: Topological Data Analysis for Scientific Visualization
ISBN: 3319890794 ISBN-13(EAN): 9783319890791
Издательство: Springer
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Цена: 11179.00 р.
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Описание: 1. Introduction.- 2. Background: 2.1 Data representation.- 2.2 Topological abstractions.- 2.3 Algorithms and applications.- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields.- 3.2 Efficient Reeb graph computation for volumetric meshes.- 4. Interaction: 4.1 Topological simplification of isosurfaces.- 4.2 Interactive editing of topological abstractions.- 5. Analysis: 5.1 Exploration of turbulent combustion simulations.- 5.2 Quantitative analysis of molecular interactions.- 6. Perspectives: 6.1 Emerging constraints.- 6.2 Emerging data types.- 7. Conclusion.

Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications

Автор: Myatt
Название: Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
ISBN: 0470222808 ISBN-13(EAN): 9780470222805
Издательство: Wiley
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Цена: 14248.00 р.
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Описание: This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader`s ability to find patterns in data will be greatly enhanced due to the book`s combination of statistical learning with powerful visualization techniques.

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th Internat

Автор: Reyes Mauricio, Henriques Abreu Pedro, Cardoso Jaime
Название: Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th Internat
ISBN: 3030874435 ISBN-13(EAN): 9783030874438
Издательство: Springer
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Цена: 7685.00 р.
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Описание: iMIMIC 2021 Workshop.- Interpretable Deep Learning for Surgical Tool Management.- Soft Attention Improves Skin Cancer Classification Performance.- Deep Gradient based on Collective Arti cial Intelligence for AD Diagnosis and Prognosis.- This explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks.- Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions.- The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.- Voxel-level Importance Maps for Interpretable Brain Age Estimation.- TDA4MedicalData Workshop.- Lattice Paths for Persistent Diagrams.- Neighborhood complex based machine learning (NCML) models for drug design.- Predictive modelling of highly multiplexed tumour tissue images by graph neural networks.- Statistical modeling of pulmonary vasculatures with topological priors in CT volumes.- Topological Detection of Alzheimer's Disease using Betti Curves.

Topological data analysis with applications

Автор: Carlsson, Gunnar (stanford University, California) Vejdemo-johansson, Mikael (city University Of New York)
Название: Topological data analysis with applications
ISBN: 1108838650 ISBN-13(EAN): 9781108838658
Издательство: Cambridge Academ
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Цена: 8870.00 р.
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Описание: This introduction to topological data analysis keeps prerequisites to a minimum while covering all the key techniques, including persistent homology, cohomology, and Mapper. The final section discusses diverse case studies in detail. Mathematicians, data scientists and computer scientists will appreciate this graduate-level resource.


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